mistral-mcp-openclaw

name	mistral-mcp-openclaw
description	Configure OpenClaw to use the community mistral-mcp stdio server for Mistral OCR, Codestral FIM, Voxtral audio, durable workflows, moderation, classification, files, batch, and model/voice resources.
version	0.3.0
metadata	{"openclaw":{"requires":{"env":["MISTRAL_API_KEY"],"bins":["openclaw","node","npm"]},"install":[{"kind":"node","package":"mistral-mcp","bins":["mistral-mcp"]}],"primaryEnv":"MISTRAL_API_KEY","emoji":"🌊","homepage":"https://github.com/Swih/mistral-mcp"}}

Mistral MCP for OpenClaw

Created by the maintainer of mistral-mcp. This is a community skill, not an official OpenClaw or Mistral integration.

Use this skill when you want OpenClaw to access Mistral capabilities beyond the built-in chat/model routing provider:

• OCR for documents and images (Mistral Document AI)
• Codestral fill-in-the-middle (FIM) code completion
• Voxtral transcription with speaker diarization, and TTS
• Durable workflows with human-in-the-loop signals (workflow_execute / status / interact)
• Moderation and classification endpoints
• Files and batch API workflows
• Live model and voice resources

OpenClaw already includes a built-in Mistral provider for chat. This skill is for tool-level MCP access alongside that provider.

Requirements

• Node.js 18+
• OpenClaw CLI
• MISTRAL_API_KEY in your environment
• mistral-mcp installed from npm

Setup

Install the MCP server package globally:

npm install -g mistral-mcp

Set your Mistral API key in your shell environment:

export MISTRAL_API_KEY="sk-..."

Register the stdio MCP server in OpenClaw:

openclaw mcp set mistral '{"command":"mistral-mcp","env":{"MISTRAL_API_KEY":"${MISTRAL_API_KEY}"}}'

Check the saved definition:

openclaw mcp show mistral --json

When to use it

Use this skill for workflows where the agent needs a Mistral-specific tool, not just a chat model:

• Extract text from a PDF or image with OCR
• Ask Codestral for FIM / inline code completion
• Transcribe or generate audio with Voxtral (diarization supported)
• Run durable multi-step workflows with human approval gates
• Run moderation or classification before taking an action
• Submit larger async workloads through the batch API
• Inspect live model and voice catalogs as MCP resources

Safety notes

• Do not paste API keys into chat or commit them to source files. Prefer environment variables or your normal secret manager.
• Review the mistral-mcp package before installing it if you operate in a sensitive workspace. Source: https://github.com/Swih/mistral-mcp.
• Mistral has its own pricing and rate limits. Check the current Mistral plan and usage policies before running batch or large transcription workloads.