# Roboflow — MCP server on mcp.ai
> Connect your Roboflow account and use 7 tools for artificial intelligence straight from your AI agent. Connect with your own API key. Build and use computer vision models fast with Roboflow. Train, deploy, and run inference on object detection, classification, and segmentation models.

By: mcp.ai · official
Page: https://mcp.ai/roboflow

## Connect (MCP protocol)
Remote MCP endpoint (HTTP, streamable): https://api.mcp.ai/p_roboflow?ms=1787293560000
Add it as a custom/remote MCP connector, then authenticate when prompted.

## REST API (no MCP client required)
Every tool is also a REST endpoint, authed with a workspace API key.
Discover: GET https://api.mcp.ai/api/roboflow/_endpoints   # public; lists every endpoint
Call:     POST https://api.mcp.ai/api/roboflow/<endpoint>
  Authorization: Bearer sk_live_…   # create one at https://mcp.ai/settings/api-keys
  Content-Type: application/json
  Body: { …args }   →   { "ok": true, "tool": "<id>", "result": { … } }

## Developer docs
How to use (MCP or REST), markdown: https://mcp.ai/roboflow/skill.md
Postman collection (v2.1): https://mcp.ai/roboflow/postman.json

## Tools
- roboflow_describe_workflow_interface(api_key: string, specification: object) — Tool to describe the interface of a workflow specification. Use when you need to understand the inputs, outputs, and types for a Roboflow workflow definition.
- roboflow_get_execution_engine_versions() — Tool to retrieve available Execution Engine versions from Roboflow workflows API. Use when you need to check which execution engine versions are supported for workflow processing.
- roboflow_get_server_info() — Tool to retrieve information about the Roboflow inference server. Use when you need to check the server version, name, or unique identifier.
- roboflow_get_server_metrics() — Tool to retrieve Prometheus metrics from the Roboflow inference server. Use when monitoring server performance, tracking inference statistics, or debugging server health issues.
- roboflow_get_workflow_schema() — Tool to fetch the workflows block schema from Roboflow. Use when you need to retrieve the complete schema definition for workflow blocks.
- roboflow_run_workflow(inputs: object, api_key?: string, is_preview?: boolean, workflow_id?: string, specification: object, excluded_fields?: string[], enable_profiling?: boolean) — Tool to run a workflow specification with provided inputs. Use when you need to execute a custom Roboflow workflow pipeline for image processing, model inference, or other computer vision tasks.
- roboflow_validate_workflow(steps: object[], inputs: object[], api_key?: string, outputs: object[], version: string) — Tool to validate a Roboflow workflow specification before execution. Use this to check if your workflow definition is syntactically correct and properly structured.

## Example prompts
- "What can I do in Roboflow?"
- "Show me a summary of my Roboflow account"

## Links
Docs: https://mcp.ai/docs/mcps/roboflow
Website: https://mcp.ai/mcps/roboflow