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Artificial Intelligence

Roboflow
API integration

Ship Artificial Intelligence features without building the integration. Full Roboflow API access via Proxy and 100+ MCP-ready tools for AI agents — extend models and mappings to fit your product.

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Roboflow

Use Cases

Why integrate with Roboflow

Common scenarios for SaaS companies building Roboflow integrations for their customers.

01

Embed Computer Vision into Vertical SaaS Workflows

Let your customers connect their Roboflow workspace to add defect detection, object counting, or visual classification directly inside your product — without you building or maintaining ML infrastructure.

02

Automate Field Data Capture Loops

For inspection, drone, or mobile-first SaaS, pipe images captured in your app into customers' Roboflow projects to fuel continuous model retraining and improve accuracy over time.

03

Trigger Auto-Labeling from Your DataOps Platform

Data infrastructure and MLOps SaaS can offload annotation to Roboflow's human and AI-assisted labeling jobs, letting customers scale dataset preparation without leaving your workflow tool.

04

Sync Cloud Storage into Roboflow Projects

Storage, DAM, and content platforms can natively mirror image buckets into customer Roboflow workspaces, eliminating manual dataset uploads for ML teams.

05

Orchestrate Model Training and Deployment Pipelines

CI/CD, workflow automation, and DevOps SaaS can trigger Roboflow training jobs, monitor status, and manage dedicated deployments on behalf of their users.

What You Can Build

Ship these features with Truto + Roboflow

Concrete product features your team can ship faster by leveraging Truto’s Roboflow integration instead of building from scratch.

01

One-click Roboflow workspace connector

Let users authenticate their Roboflow account and select a workspace and project to link with your app using list_all_roboflow_workspace and list_all_roboflow_project.

02

In-app inference on captured images

Send images from your product to a customer's trained model or workflow via create_a_roboflow_inference_model or create_a_roboflow_inference_workflow and render bounding boxes or classifications back in your UI.

03

Active learning feedback pipeline

Push corrected or low-confidence images back into the connected Roboflow project using create_a_roboflow_image and create_a_roboflow_vision_event to power continuous retraining.

04

Automated annotation job dispatcher

Kick off human or AI-assisted labeling on newly ingested batches with create_a_roboflow_annotation_job and create_a_roboflow_auto_label_job, and track completion via job status endpoints.

05

Bucket-to-project dataset sync

Configure and run cloud bucket mirroring with create_a_roboflow_bucket_mirror_config and create_a_roboflow_bucket_mirror_sync so customer media assets flow into Roboflow projects automatically.

06

Training and deployment control panel

Expose training triggers, cancel/stop controls, and dedicated deployment lifecycle (pause, resume, logs, usage) inside your product using the training job and dedicated deployment tools.

SuperAI

Roboflow AI agent tools

Comprehensive AI agent toolset with fine-grained control. Integrates with MCP clients like Cursor and Claude, or frameworks like LangChain.

list_all_roboflow_workspace

Verify your Roboflow API key and retrieve the authenticated workspace identifier from the root endpoint. Returns: welcome, instructions, docs, workspace.

get_single_roboflow_workspace_by_id

Get a Roboflow workspace by id, returning its metadata and full project list. Returns: name, url, members, projects, config, patch. Required: id.

create_a_roboflow_workspace_search

Search images across a Roboflow workspace using a query string that supports filtering, sorting, and semantic search. Returns: workflows, status. Required: workspace, query.

create_a_roboflow_project

Create a new project in a Roboflow workspace. Returns: id, name, created, updated, images, unannotated, annotation, versions, public, splits, colors, classes, icon. Required: workspace, name.

list_all_roboflow_project

List all projects in a Roboflow workspace. Returns each project's id, type, name, annotation, created, updated, images, unannotated, versions, public, splits, and classes. Required: workspace.

delete_a_roboflow_project_by_id

Move a Roboflow project to Trash (soft delete; items are retained for 30 days before permanent cleanup). Returns: deleted, workspace, project, projectId, trash. Required: workspace, id.

get_single_roboflow_project_by_id

Get a Roboflow project and its dataset versions by id. Returns the project object including id, name, type, annotation, created, updated, images, unannotated, public, splits, classes, and a versions array. Required: workspace, id.

create_a_roboflow_project_fork

Fork a public Roboflow Universe project into a target workspace. The operation runs asynchronously and returns a taskId and polling url you can use to check fork status. Returns: taskId, url. Required: workspace, plus either url (full Universe project URL) or source_project (project slug) — at least one must be supplied.

list_all_roboflow_project_health

Get the dataset health check for a Roboflow project. Returns a summary of annotation quality and image statistics including health, stats.numImages, stats.numAnnotations, stats.missingAnnotations, stats.nullAnnotations, and stats.classDistribution. Required: workspace, project.

list_all_roboflow_project_model

List all trained models in a Roboflow project, including both version-trained models and standalone NAS-generated models. Returns: url, version, name, modelType, created, train, metrics, nasFamily, group, favorites, recommended. Required: workspace, project. Optionally filter to a single NAS run by passing group.

list_all_roboflow_version

Get a specific Roboflow dataset version by workspace, project, and version number. Returns the full version record including workspace (name, url, members), project (id, name, type, images), and version (id, name, created, images, model, preprocessing, augmentation, exports, train). Required: workspace, project, version.

delete_a_roboflow_version_by_id

Move a Roboflow dataset version to Trash by id. Returns: deleted, workspace, project, projectId, version, trash. Items are retained in Trash for 30 days before automatic cleanup; permanent deletion is available only via the Roboflow web app. Required: workspace, project, id.

get_single_roboflow_version_by_id

Get a specific Roboflow dataset version by id. Returns the full version record including workspace (name, url, members), project (id, name, type, images), and version (id, name, created, images, model, preprocessing, augmentation, exports, train). Required: workspace, project, id.

list_all_roboflow_version_export

Download a Roboflow dataset version in a specific export format. Returns workspace, project, and version details including version id, images count, and the list of generated export formats. Required: workspace, project, version, format.

create_a_roboflow_training_job

Create a Roboflow training job for a dataset version. Returns: jobId, status, version, createdAt. Training runs asynchronously; poll the job endpoint to check its status. Required: workspace, project, version.

list_all_roboflow_training_job

List Roboflow training jobs for a dataset version. Returns each job's id, status, version, model_type, createdAt, and progress. Required: workspace, project, version.

get_single_roboflow_training_job_by_id

Get a single Roboflow training job by id. Returns the job's id, status, version, model_type, createdAt, and progress. Status values: queued, training, complete, failed, cancelled. Required: workspace, project, version, id.

roboflow_training_job_cancel

Cancel a running Roboflow training job for a dataset version. Returns: success, jobId, status, version, createdAt. Required: workspace, project, version.

roboflow_training_job_stop

Stop a running Roboflow training job for a dataset version. Returns: success, jobId, status, version, createdAt. Required: workspace, project, version.

create_a_roboflow_version_training

Start a training job on a Roboflow dataset version. Training runs asynchronously; the response confirms the job was queued, not that it has completed. Returns: jobId, status, version, createdAt, success. Required: workspace, project, version.

create_a_roboflow_version_training_cancel

Cancel an in-progress Roboflow training job for a specific dataset version. The job must be in a running or queued state; cancelling a finished job returns 409 Conflict. Not idempotent. Returns: success. Required: workspace, project, version.

create_a_roboflow_version_training_stop

Request an early stop for a running Roboflow training job on a specific project version. Unlike cancel, this operation is idempotent and returns success even if the job has already stopped. Returns: success. Required: workspace, project, version.

create_a_roboflow_image

Upload an image to a Roboflow project dataset via URL or raw image body. Optionally assign the image to a split, batch, or tag sequence. Returns: success, taskId, signedUrl, url. Required: project.

get_single_roboflow_image_by_id

Get details about a specific image in a Roboflow project by id. Returns the image object containing id, name, annotation (with bounding boxes), labels, split, tags, created, urls, and embedding. Required: workspace, project, id.

delete_a_roboflow_image_by_id

Delete one or more images from a Roboflow project dataset by specifying their IDs in the request body. Returns an empty 204 response on success. Required: workspace, project, images.

update_a_roboflow_image_tag_by_id

Add, remove, or set tags on a specific Roboflow image. Returns: success. Required: workspace, project, image_id, operation, tags.

create_a_roboflow_annotation

Upload and attach an annotation file to an existing image in a roboflow dataset. Supports any roboflow-compatible annotation format; send raw annotation content as the request body, or a JSON body with annotationFile and labelmap for index-based formats like Darknet TXT. Returns an empty 204 response on success. Required: project, image_id, name.

create_a_roboflow_dataset_zip

Initiate an async dataset zip upload for a Roboflow project. Sends a POST that returns a signed GCS URL to PUT the zip file to and a task identifier for polling status. Returns: taskId, signedUrl, url. Required: project.

list_all_roboflow_batch

List all image batches for a Roboflow project. Returns a collection of batch records each containing id, name, images, numJobs, and uploaded timestamp. Required: workspace, project.

get_single_roboflow_batch_by_id

Get a single Roboflow image batch by id within a project. Returns the batch's id, name, images, numJobs, and uploaded timestamp. Required: workspace, project, id.

create_a_roboflow_annotation_job

Create a new annotation job in a Roboflow project, assigning images from an upload batch to a labeler and reviewer. Returns: id, name, status, created, labeler, reviewer, numImages, annotated, unannotated, approved, rejected, owner, createdBy, instructionsText, sourceBatch, project. Required: workspace, project, name, batch, num_images, labelerEmail, reviewerEmail.

list_all_roboflow_annotation_job

List all annotation jobs in a Roboflow project. Returns each job's id, name, status, labeler, reviewer, numImages, annotated, unannotated, approved, rejected, sourceBatch, created, instructionsText. Required: workspace, project.

get_single_roboflow_annotation_job_by_id

Get a single Roboflow annotation job by id. Returns the full job object including id, name, status, labeler, reviewer, numImages, annotated, unannotated, approved, rejected, sourceBatch, instructionsText, createdBy, owner, project, created. Required: workspace, project, id.

create_a_roboflow_auto_label_job

Create a Roboflow auto-label job to automatically annotate a batch of images in a project using SAM 3 or a custom Roboflow model. Returns: jobId, annotationJobId, message. Required: workspace, project, batchId, modelType.

get_single_roboflow_auto_label_job_by_id

Get the status and progress details of a Roboflow auto-label job by id. Returns: id, status, annotationJobId, jobId, message. Required: workspace, id.

list_all_roboflow_annotation_insight

List annotation insights for a Roboflow workspace. Returns per-labeler metrics in data (approved, boxesDrawn, imagesLabeled, approvalRate, labelerId, projectId), labeler metadata in labelers (id, displayName, email), and aggregated workspace-level totals in stats (numImagesLabeled, numBoxesDrawn, approvalRate). Required: workspace, startDate, endDate. Data is only available from 2023-08-01 onward.

list_all_roboflow_workflow

List all Roboflow workflows in a workspace. Returns: id, name, url, createdAt, workflows, status. Required: workspace.

get_single_roboflow_workflow_by_id

Get a single Roboflow workflow by id. Returns the workflow metadata including id, name, url, and createdAt. Required: workspace, id.

delete_a_roboflow_workflow_by_id

Soft-delete (move to Trash) a Roboflow workflow by id. Returns: deleted, workspace, workflow, workflowId, trash, workflows, status. Required: workspace, id.

create_a_roboflow_workflow

Create a new Roboflow workflow in a workspace. Returns the created workflow's id and url. Required: workspace.

update_a_roboflow_workflow_by_id

Update a Roboflow workflow's name, URL slug, or specification. Returns the updated workflow's id and url. Required: workspace, id.

create_a_roboflow_workflow_fork

Fork a Roboflow workflow from another workspace into the specified target workspace. Returns the forked workflow object including its id and url, plus a status indicator. Required: workspace, source_workspace, source_workflow.

list_all_roboflow_workflow_version

List versioned snapshots of a Roboflow workflow specification. Returns version records including id. Required: workspace, workflow_url.

create_a_roboflow_workflow_token

Generate a short-lived Roboflow workflow token suitable for executing workflows from a public client such as a browser. Returns: status, workflows. Required: workspace.

create_a_roboflow_project_folder

Create a new project folder in a Roboflow workspace to organize projects. Returns: id. Required: workspace.

get_single_roboflow_project_folder_by_id

Get a Roboflow project folder by id. Returns the ProjectFolder object including its id, name, projects, external_id, and auth_groups. Required: workspace, id.

update_a_roboflow_project_folder_by_id

Update a Roboflow project folder's properties by id. Returns an empty 204 response on success; pass returnUpdated=true as a query parameter to receive the updated folder data in the response instead. Required: workspace, id.

delete_a_roboflow_project_folder_by_id

Delete a Roboflow project folder by id. All projects within the folder are placed back into the top-level workspace and not deleted. Returns an empty 204 response on success. Required: workspace, id.

update_a_roboflow_project_folder_project_by_id

Add one or more projects to an existing Roboflow project folder. Returns an empty 204 response on success. Required: workspace, folder_id, projects.

delete_a_roboflow_project_folder_project_by_id

Remove one or more projects from a Roboflow project folder, placing them back into the top-level workspace. Returns an empty 204 response on success. Required: workspace, folder_id, projects.

list_all_roboflow_trash

List all items currently in a Roboflow workspace's Trash, including projects, versions, and workflows. Returns: sections, deleted, workspace, project, projectId, trash. Required: workspace.

create_a_roboflow_trash_restore

Restore a Roboflow project, version, or workflow from Trash. Returns: deleted, workspace, project, projectId, version, workflow, workflowId, trash. Required: workspace, type, id. For version restores, parentId (parent project ID) is also required and the parent project must be active (not itself in Trash).

get_single_roboflow_async_task_by_id

Get the status of a roboflow async task by id. Returns: taskId, status, progress, result, url. Required: workspace, id.

list_all_roboflow_api_key

List all Roboflow API keys for a workspace, returning masked key metadata and the workspace publishable key. Returns: apiKeys, publishableKey, apiKey. Required: workspace.

get_single_roboflow_api_key_by_id

Get masked metadata for a single Roboflow API key by its id. Returns the apiKey object containing keyId, name, prefix, scopes, folderIds, default, protected, and disabled. Required: workspace, id.

create_a_roboflow_api_key

Create a new Roboflow API key in a workspace. The secret key value is returned only once in the key field — store it securely immediately. Returns: keyId, key, name, scopes, folderIds, protected, publishableKey, apiKey. Required: workspace.

update_a_roboflow_api_key_by_id

Update a Roboflow API key's name, scopes, metadata, or protected/disabled state; send only the fields you want to change. Returns the updated apiKey object with keyId, name, prefix, scopes, folderIds, protected, and disabled. Required: workspace, id.

delete_a_roboflow_api_key_by_id

Revoke a Roboflow API key permanently by its id; existing applications using it will immediately fail to authenticate. Returns: status, keyId, apiKey. Required: workspace, id.

list_all_roboflow_publishable_key

Get the publishable key for a Roboflow workspace. The key is a permanent, non-secret credential of the form `rf_` that can be safely embedded in client-side code for inference and model downloads. Returns: publishableKey, status, keyId. Required: workspace.

create_a_roboflow_agent_chat

Send a natural-language message to the Roboflow AI agent to create or edit Workflows in a workspace. Returns: text, workflows, conversation_id, workflowId, workflowUrl, versionId, status. Required: workspace, message. Pass conversation_id to continue an existing conversation; omit it to start a new one. Workflow changes are saved as drafts.

create_a_roboflow_agent_workflow_publish

Publish the latest draft version of a Roboflow agent Workflow, deploying it to production. Returns: workflowId, workflowUrl, versionId, status. Required: workspace, workflow_url. Returns 400 if there is no unpublished draft to deploy.

list_all_roboflow_agent_conversation

List all Roboflow agent conversations in a workspace. Returns: id, workflowId, workflowUrl, versionId, status. Required: workspace. Optionally filter by source (api or web) or by a workflow URL slug.

get_single_roboflow_agent_conversation_by_id

Get a single Roboflow agent conversation by id, including its full message history. Returns: id, workflowId, workflowUrl, versionId, status. Required: workspace, id.

list_all_roboflow_project_deploy

Get the Roboflow project deployment state for a given workspace and project. Returns: project, workflow, model, deployability, activeLearning, baseWorkflowWasCreated. Required: workspace, project.

update_a_roboflow_project_deploy_model_by_id

Update the deployed model for a roboflow project, setting the model used by the project's deployment workflow. Accepts three model shapes: a specific model by ID (`model_id`), zero-shot segmentation (`sam3`), or zero-shot classification (`clip`). Returns the updated deployment state including project, workflow, model, deployability, activeLearning, and baseWorkflowWasCreated. Required: workspace,…

list_all_roboflow_active_learning

List the Active Learning configuration for a roboflow project, returning its enabled state, collection limits, filters, deployment readiness, model settings, and workflow details. Returns: project, workflow, model, deployability, activeLearning, baseWorkflowWasCreated. Required: workspace, project.

create_a_roboflow_active_learning_enable

Enable Active Learning on a Roboflow project. If no model is configured, the service attempts to auto-select one. Returns: project, workflow, model, deployability, activeLearning, baseWorkflowWasCreated. Returns 400 if the workflow is not deployable. Required: workspace, project.

create_a_roboflow_active_learning_disable

Disable Active Learning on a Roboflow project. Returns the updated deployment configuration including project, workflow, model, deployability, and activeLearning (with enabled set to false). Required: workspace, project.

update_a_roboflow_active_learning_config_by_id

Update the Active Learning configuration for a Roboflow project's deployment, setting collection limits (data percentage, rate limits, batch frequency, image sizing, tags) and optional image filters. Returns the updated deployment state including project, workflow, model, deployability, and activeLearning objects. Required: workspace,id.

list_all_roboflow_active_learning_image

List Active Learning images in the Roboflow project's review queue with optional filtering and sorting. Returns: activeLearningImages, project, workflow, model, deployability, activeLearning, baseWorkflowWasCreated. Required: workspace, project.

list_all_roboflow_credential

List credentials in a roboflow workspace with their secrets masked. Returns a collection of credential records including id, owner, type, name, and payload (with secrets masked). Required: workspace.

create_a_roboflow_credential

Create a credential in a Roboflow workspace to store cloud access secrets (AWS IAM, GCS, API key, etc.). Returns: id. Required: workspace, type, name, payload.

delete_a_roboflow_credential_by_id

Delete a credential from a roboflow workspace by id. Returns an empty 204 response on success. Required: workspace, id.

list_all_roboflow_bucket_mirror_config

List roboflow bucket mirror configurations in a workspace, each with a summary of its latest sync job. Returns: id, name, latestJob. Required: workspace.

create_a_roboflow_bucket_mirror_config

Create a roboflow bucket mirror configuration to mirror files from an external S3 or GCS bucket into a workspace. Returns: id. Required: workspace, name, credentialId, bucket, mirrorConfigs.

get_single_roboflow_bucket_mirror_config_by_id

Get a single roboflow bucket mirror configuration by id. Returns: id, name, latestJob. Required: workspace, id.

update_a_roboflow_bucket_mirror_config_by_id

Update a roboflow bucket mirror configuration by id. Send only the fields you want to change. Returns: id, name. Required: workspace, id.

delete_a_roboflow_bucket_mirror_config_by_id

Delete a roboflow bucket mirror configuration by id. Returns an empty 204 response on success. Required: workspace, id.

list_all_roboflow_bucket_mirror_validation

Validate a Roboflow bucket mirror configuration by checking that the referenced credential can list, head, and read objects in the configured bucket. Returns: data. Required: workspace, config_id.

create_a_roboflow_bucket_mirror_sync

Trigger a Roboflow bucket mirror sync for a given configuration. Validates the configuration first, then starts a mirror run and returns one batch id per mirror rule. Manual runs are rate limited. Returns: id. Required: workspace, config_id.

get_single_roboflow_bucket_mirror_job_by_id

Get a single Roboflow bucket mirror sync job by its id, allowing you to poll job progress after triggering a run. Returns: batchId, status, id. Required: workspace, config_id, id.

create_a_roboflow_vision_event

Create a single vision event in roboflow to record an observation from a computer vision deployment. Returns: eventId, created. Required: eventId, eventType, useCaseId, timestamp, eventData. Duplicate eventId values overwrite previously ingested events.

create_a_roboflow_vision_event_batch

Batch-create up to 100 Roboflow vision events in a single request, more efficiently than creating events individually. Returns: created, eventIds, deprecations. Required: events. Maximum of 100 events per batch.

create_a_roboflow_vision_event_image

Upload an image to Roboflow for use in vision events. This is a workspace-level upload not tied to any specific project; the returned sourceId can be referenced in the images array when creating vision events. Returns: success, sourceId, url. Required: file. Supported formats: JPEG, PNG, WebP, GIF, TIFF, BMP, HEIC, and AVIF.

create_a_roboflow_vision_event_query

Query roboflow vision events with filters for time range, event type, device context, detection classes, custom metadata, and event-specific fields. Returns: error. Required: useCaseId. Max 1000 events per page; defaults to 100.

list_all_roboflow_vision_event_metadata_schema

Get the custom metadata schema for Roboflow vision events for a given use case, returning all observed field names and their data types across ingested events. Returns: created, eventIds. Required: useCaseId.

list_all_roboflow_use_case

List all Roboflow use cases in your workspace that have recorded vision events. Returns: id, name, status, workspaceId, createdAt, updatedAt, error. Optionally filter by use case status (active or inactive).

create_a_roboflow_use_case

Create a new use case in your Roboflow workspace to organize vision events by deployment context. Returns: id, name. Required: name.

update_a_roboflow_use_case_by_id

Update the name or status of an existing Roboflow use case. Returns: id, name. Required: id. At least one of name or status must be provided in the request body.

create_a_roboflow_use_case_archive

Archive a roboflow use case by setting its status to inactive, hiding it from active listings and preventing new event ingestion (soft delete — data is preserved). Returns: success, error. Required: use_case_id.

create_a_roboflow_use_case_unarchive

Restore a previously archived Roboflow use case by setting its status back to active. Only use cases with an inactive status can be unarchived. Returns: success, error. Required: use_case_id.

list_all_roboflow_dedicated_deployment_machine_type

List all available machine types for Roboflow dedicated deployments. Returns: name, description, deployment_name, status, machine_type, public_url, created_at, expires_at.

create_a_roboflow_dedicated_deployment

Create a Roboflow dedicated deployment (managed GPU machine). Provisions asynchronously — poll GET /get until status is 'ready'. Returns: deployment_name, machine_type, status, public_url, created_at, expires_at. Required: deployment_name, machine_type, creator_email, duration, delete_on_expiration.

list_all_roboflow_dedicated_deployment

List all Roboflow dedicated deployments in the workspace. Returns records with deployment_id, deployment_name, machine_type, status, creator_email, subdomain, domain, duration, inference_version, min_replicas, max_replicas, num_replicas, workspace_id, workspace_url.

delete_a_roboflow_dedicated_deployment_by_id

Delete a Roboflow-dedicated deployment by ID. Returns: message, deployment_name, status, machine_type, public_url, created_at, expires_at. Required:id.

get_single_roboflow_dedicated_deployment_by_id

Get a single Roboflow dedicated deployment by id. Returns: deployment_name, machine_type, status, workspace_url, public_url, created_at, expires_at. Required:id.

create_a_roboflow_dedicated_deployment_pause

Pause a Roboflow dedicated deployment, stopping the running GPU machine while preserving its configuration. Returns: message, deployment_name, status, machine_type, public_url, created_at, expires_at. Required: deployment_name.

create_a_roboflow_dedicated_deployment_resume

Resume a paused Roboflow dedicated deployment. Returns: message, deployment_name, status, machine_type, public_url, created_at, expires_at. Required: deployment_name.

list_all_roboflow_dedicated_deployment_log

List log entries for a Roboflow dedicated deployment, with optional timestamp range filtering and a cap on the number of returned entries. Returns: deployment_name, status, machine_type, public_url, created_at, expires_at. Required: deployment_name. Omit from_timestamp and to_timestamp to fetch the most recent entries up to max_entries.

list_all_roboflow_dedicated_deployment_usage_workspace

List workspace-wide usage data in Roboflow for a specified time window across all dedicated deployments. Returns: deployment_name, status, machine_type, public_url, created_at, expires_at. Required: from_timestamp, to_timestamp.

list_all_roboflow_dedicated_deployment_usage

List per-deployment usage in Roboflow for a specific dedicated deployment within a given time window. Returns: deployment_name, status, machine_type, public_url, created_at, expires_at. Required: deployment_name, from_timestamp, to_timestamp.

create_a_roboflow_inference_model

Run inference on a Roboflow trained model by submitting an image to a specific model version. Returns predictions whose structure depends on the model type (object detection, classification, segmentation); consult the Roboflow deployment documentation for per-task response shapes. Required: workspace, project, version.

create_a_roboflow_inference_workflow

Run a Roboflow inference workflow by posting an inputs payload to the specified workspace and workflow. Returns workflow-specific inference results whose exact shape is determined by the workflow's configured output steps; consult the workflow definition in roboflow for the field-level breakdown. Required: workspace, workflow.

Why Truto

Why use Truto’s MCP server for Roboflow

Other MCP servers give you a static tool list for one app. Truto gives you a managed, multi-tenant MCP infrastructure across 550+ integrations.

01

Auto-generated, always up to date

Tools are dynamically generated from curated documentation — not hand-coded. As integrations evolve, tools stay current without manual maintenance.

02

Fine-grained access control

Scope each MCP server to read-only, write-only, specific methods, or tagged tool groups. Expose only what your AI agent needs — nothing more.

03

Multi-tenant by design

Each MCP server is scoped to a single connected account with its own credentials. The URL itself is the auth token — no shared secrets, no credential leaking across tenants.

04

Works with every MCP client

Standard JSON-RPC 2.0 protocol. Paste the URL into Claude, ChatGPT, Cursor, or any MCP-compatible agent framework — tools are discovered automatically.

05

Built-in auth, rate limits, and error handling

Tool calls execute through Truto’s proxy layer with automatic OAuth refresh, rate-limit handling, and normalized error responses. No raw API plumbing in your agent.

06

Expiring and auditable servers

Create time-limited MCP servers for contractors or automated workflows. Optional dual-auth requires both the URL and a Truto API token for high-security environments.

How It Works

From zero to integrated

Go live with Roboflow in under an hour. No boilerplate, no maintenance burden.

01

Link your customer’s Roboflow account

Use Truto’s frontend SDK to connect your customer’s Roboflow account. We handle all OAuth and API key flows — you don’t need to create the OAuth app.

02

We handle authentication

Don’t spend time refreshing access tokens or figuring out secure storage. We handle it and inject credentials into every API request.

03

Call our API, we call Roboflow

Truto’s Proxy API is a 1-to-1 mapping of the Roboflow API. You call us, we call Roboflow, and pass the response back in the same cycle.

04

Unified response format

Every response follows a single format across all integrations. We translate Roboflow’s pagination into unified cursor-based pagination. Data is always in the result attribute.

FAQs

Common questions about Roboflow on Truto

Authentication, rate limits, data freshness, and everything else you need to know before you integrate.

How do end users authenticate their Roboflow account?

Users provide a Roboflow API key scoped to their workspace. Truto securely stores and injects credentials on each request, and you can also manage keys programmatically via list_all_roboflow_api_key, create_a_roboflow_api_key, and delete_a_roboflow_api_key_by_id.

Can I run inference against a customer's model directly from my app?

Yes. Use create_a_roboflow_inference_model to hit a specific model version or create_a_roboflow_inference_workflow to run a multi-step visual pipeline. Both return structured JSON with predictions you can render or route downstream.

How do I push new images and annotations into a customer's Roboflow project?

Use create_a_roboflow_image to upload imagery to a project (with optional split assignment), create_a_roboflow_annotation to attach labels, and list_all_roboflow_batch or get_single_roboflow_batch_by_id to track ingestion batches.

Can I trigger model training and monitor status?

Yes. create_a_roboflow_training_job and create_a_roboflow_version_training start training runs. Use list_all_roboflow_training_job and get_single_roboflow_training_job_by_id to poll status, and the cancel/stop endpoints to control jobs mid-run.

How is data freshness handled — is this real-time or polled?

Roboflow's API is request-based, so inference calls are synchronous and real-time. For long-running operations like training, auto-labeling, and bucket mirror syncs, you poll the corresponding job or async task endpoints (e.g., get_single_roboflow_async_task_by_id) to detect completion.

Can I manage dedicated deployments on behalf of my users?

Yes. You can list available machine types, create dedicated deployments, pause/resume them, fetch logs, and pull workspace-level usage — all via the dedicated deployment tools exposed through Truto.

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