Connect Roboflow to AI agents

Connect Roboflow to Claude, Codex, Cursor, or other AI agents for your entire team. Metorial security, governance, observability, and gives your team a unified Magic MCP url to connect.

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Supported Tools

Tools16Triggers1

list_annotation_jobs

List Annotation Jobs

List all annotation jobs for a project. Returns each job's status, image counts, and progress towards completion. Optionally retrieve detailed information for a specific job by providing a jobId.

upload_annotation

Upload Annotation

Upload an annotation file for a specific image in a project. Supports various annotation formats including YOLO/Darknet, Pascal VOC XML, COCO JSON, and more. The annotation text should match the expected format for the project type.

run_inference

Run Inference

Run predictions on an image using a trained model deployed on the Roboflow hosted inference API. Provide a publicly accessible image URL or base64-encoded image data. Returns detected objects with bounding boxes, confidence scores, and class labels.

create_annotation_job

Create Annotation Job

Create a new annotation job for a project. An annotation job assigns images from a batch to a labeler for annotation and a reviewer for quality control. Both must be members of the workspace.

get_project

Get Project

Get detailed information about a specific Roboflow project, including its dataset versions, annotation classes, image splits, and training status. Use the project URL slug as the projectId.

train_model

Train Model

Start training a model on a specific dataset version using Roboflow Train. Training runs asynchronously and typically completes within 24 hours. Once done, the model is automatically deployed to a hosted inference API. Use **Get Version** to monitor training progress and results.

list_projects

List Projects

List all projects in a Roboflow workspace. Returns project metadata including name, type, image counts, annotation classes, and version counts. Useful for discovering available projects and their current state.

export_dataset

Export Dataset

Export a dataset version in a specified annotation format. Returns a download link for the exported dataset. Supported formats include YOLOv5, COCO JSON, Pascal VOC, TFRecord, and many more.

get_image

Get Image

Get detailed information about a specific image in a project, including its annotations, labels, tags, split assignment, and URLs for the original and thumbnail versions.

delete_images

Delete Images

Delete one or more images from a Roboflow project. This permanently removes the images and their annotations from the project.

create_project

Create Project

Create a new computer vision project in the workspace. Supports object detection, classification (single and multi-label), instance segmentation, and semantic segmentation project types.

create_version

Create Version

Generate a new versioned snapshot of a project's dataset with optional preprocessing and augmentation settings. The version is generated asynchronously. Use **Get Version** to check generation progress. Preprocessing options include auto-orient, resize, grayscale, static crop, and tile. Augmentation options include flip, rotate, crop, brightness, blur, noise, cutout, mosaic, and more.

search_images

Search Images

Search for images within a project using text prompts, visual similarity to an existing image, or by filtering on tags, classes, and batch assignments. Supports pagination for browsing large datasets.

upload_image

Upload Image

Upload an image to a Roboflow project. Provide either a publicly accessible image URL or base64-encoded image data. Optionally assign the image to a batch, add tags, or specify the dataset split.

get_version

Get Version

Get detailed information about a specific dataset version, including preprocessing and augmentation settings, training results (mAP, precision, recall), and model endpoint details. Use this to check training progress or model performance.

manage_image_tags

Manage Image Tags

Add, remove, or set tags on a specific image in a project. Tags are used for organizing and filtering images. Use "add" to append tags, "remove" to delete specific tags, or "set" to replace all existing tags.

More integrations teams use with Roboflow

GitHub

Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.

Sharepoint

Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Subscribe to webhooks for list and library change notifications. Retrieve site properties and search for sites across Microsoft 365.

Salesforce

Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Subscribe to real-time change events via Change Data Capture and Platform Events. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.

Airtable

Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.

Bitbucket

Manage Git repositories, pull requests, and CI/CD pipelines on Bitbucket Cloud. Create, fork, and configure repositories within workspaces and projects. Create, review, approve, merge, and decline pull requests with inline code comments. Browse source code, list commits, and manage branches and tags. Track issues with the built-in issue tracker. Trigger, monitor, and manage Bitbucket Pipelines. List workspace members, configure repository default reviewers and branch restrictions, create and manage repository webhooks, and search code across repositories.

Heroku

Deploy, manage, and scale applications on Heroku's cloud platform. Create and configure apps, scale dynos, provision add-ons (databases, caching, etc.), manage configuration variables, build and release code, add custom domains and SSL certificates, manage collaborators and team permissions, configure pipelines for continuous delivery, set up log drains, and sync data with Salesforce via Heroku Connect. Subscribe to webhooks for real-time notifications on app changes, builds, releases, dyno lifecycle events, and more.

Technical notes for Roboflow

Manage computer vision projects, datasets, and models. Upload and annotate images, create dataset versions with preprocessing and augmentation, train object detection and classification models, and run inference via hosted or self-hosted APIs. Organize workspaces and projects, manage annotation jobs and labeler assignments, search images by visual similarity, monitor deployed model performance, and build multi-step workflows with 40+ pre-built blocks. Supports object detection, classification, instance segmentation, semantic segmentation, and keypoint detection. Access foundation models including CLIP, OCR, and YOLO-World, and browse public datasets on Roboflow Universe.

Connect Roboflow to production AI agents

See how Metorial gives Roboflow access the governance, tracing, and security controls teams need.

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Frequently asked questions

Common questions about connecting Roboflow to AI agents with Metorial.

  1. Can Metorial connect Roboflow to AI agents?
    Yes. Metorial connects AI agents to Roboflow through a governed integration layer, so teams can use the provider while keeping access controlled and observable.
  2. Metorial is MCP compatible and lets teams expose approved provider tools to MCP-capable agents and clients through a controlled access layer.
  3. Metorial applies policies across users, groups, providers, agents, and individual tools, then records the context around every agent interaction.
  4. Yes. Metorial records provider activity so teams can inspect tool calls, troubleshoot integrations, and give security teams the visibility they need.