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Swih/mistral-mcp

by Various

Full Mistral AI MCP server — OCR, Voxtral audio, Codestral FIM, durable workflows, document extraction — for Claude Code, Cursor, Windsurf, Zed, Mistral Connectors

S

MCP

Swih/mistral-mcp

Added 1 June 2026

#agent-skills #agent-tools #claude #claude-code #claude-desktop #codestral #cursor #document-ai

Overview

An MCP server that exposes Mistral AI capabilities including OCR, Voxtral audio, Codestral Fill-in-the-Middle, durable workflows, and document extraction. Designed to integrate with Claude Code, Cursor, Windsurf, Zed, and Mistral Connectors via the Model Context Protocol written in TypeScript.

Best for

Best for
Developers who want to integrate Mistral AI capabilities into their IDE or MCP-compatible workflow

Use cases

  • Run document extraction and OCR tasks directly from an IDE or terminal
  • Generate or complete code with Codestral FIM during development
  • Execute durable workflows and process audio using Voxtral from supported editors

Notes

An MCP server that exposes Mistral AI capabilities including OCR, Voxtral audio, Codestral Fill-in-the-Middle, durable workflows, and document extraction. Designed to integrate with Claude Code, Cursor, Windsurf, Zed, and Mistral Connectors via the Model Context Protocol written in TypeScript.

6 stars on GitHub. Last updated 2026-05-07. Licensed MIT.

Use cases

  • Run document extraction and OCR tasks directly from an IDE or terminal
  • Generate or complete code with Codestral FIM during development
  • Execute durable workflows and process audio using Voxtral from supported editors

Pros

  • Covers multiple Mistral AI features in one server
  • Works with several popular IDEs and coding assistants
  • TypeScript codebase makes contributions and customization accessible

Cons

  • Very early stage with only 6 GitHub stars, limited community validation
  • No information about stability or ongoing maintenance
  • Requires Mistral API key and external dependencies for full functionality

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Covers multiple Mistral AI features in one server
  • Works with several popular IDEs and coding assistants
  • TypeScript codebase makes contributions and customization accessible

Cons

  • Very early stage with only 6 GitHub stars, limited community validation
  • No information about stability or ongoing maintenance
  • Requires Mistral API key and external dependencies for full functionality