MCP server

Mistral MCP by usefulapi

io.usefulapi/mistral

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.

Website Source

At a glance

Type

MCP server

Publisher

usefulapi.io (verified by the MCP Registry)

Status

Working at last check

Tools

15

Token cost

About 2,272 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http mistral https://mistral.usefulapi.io/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.mistral]
url = "https://mistral.usefulapi.io/mcp"

Gemini CLI

{"mcpServers":{"mistral":{"httpUrl":"https://mistral.usefulapi.io/mcp"}}}

Cursor

{"mcpServers":{"mistral":{"url":"https://mistral.usefulapi.io/mcp"}}}

VS Code

{"servers":{"mistral":{"type":"http","url":"https://mistral.usefulapi.io/mcp"}}}

Antigravity

agy mcp add mistral https://mistral.usefulapi.io/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"mistral","server_url":"https://mistral.usefulapi.io/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"mistral","server_url":"https://mistral.usefulapi.io/mcp"}

Tools

• mistral_cancel_batch_job ~114 tokens
  Cancels a running Mistral batch job — stops processing and further billing for that job. Management API: POST /v1/batch/jobs/{job_id}/cancel.
• mistral_create_agent ~344 tokens
  Creates a Mistral Agent (additive configuration). Management API: POST /v1/agents. Requires model and name; instructions, tools, completion_args, description and handoffs are optional.
• mistral_delete_file Changes files · Deletes data · ~102 tokens
  Permanently deletes an uploaded file from Mistral. Destructive. Management API: DELETE /v1/files/{file_id}.
• mistral_get_agent ~95 tokens
  Retrieve a single agent entity with its configuration. Management API: GET /v1/agents/{agent_id}.
• mistral_get_batch_job ~98 tokens
  Retrieve details and status for a single batch job. Management API: GET /v1/batch/jobs/{job_id}.
• mistral_get_file ~94 tokens
  Retrieve metadata about a specific uploaded file. Management API: GET /v1/files/{file_id}.
• mistral_get_file_url ~98 tokens
  Get a temporary signed download URL for an uploaded file. Management API: GET /v1/files/{file_id}/url.
• mistral_get_library ~99 tokens
  Retrieve details about a single document library. Management API: GET /v1/libraries/{library_id}.
• mistral_get_model ~110 tokens
  Retrieve details for a single model (base or fine-tuned). Management API: GET /v1/models/{model_id}.
• mistral_list_agents ~139 tokens
  List agent entities in your account, sorted by creation time. Management API: GET /v1/agents.
• mistral_list_batch_jobs ~260 tokens
  List batch inference jobs for your organization and user, with optional filters. Management API: GET /v1/batch/jobs.
• mistral_list_files ~244 tokens
  List uploaded files belonging to your organization (fine-tune data, batch inputs/outputs, etc.). Management API: GET /v1/files.
• mistral_list_libraries ~202 tokens
  List RAG document libraries you own or that have been shared with you. Management API: GET /v1/libraries.
• mistral_list_library_documents ~193 tokens
  List the documents uploaded to a given document library. Management API: GET /v1/libraries/{library_id}/documents.
• mistral_list_models ~80 tokens
  List every model available to your account — Mistral base models plus your fine-tuned models. Management API: GET /v1/models.

Browse

• Searching your documents (RAG)
• Calling other AI models

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