# io.github.Swih/mistral-mcp

> Use this tool when you need to integrate multiple AI functionalities, such as chat, OCR, audio processing, and vision, into a single server. It solves problems related to automating tasks, improving user interaction, and enhancing data processing capabilities. The tool accepts various inputs, including text, images, and audio, and outputs processed data, making it suitable for applications requiring multi-modal AI capabilities.

Canonical page: https://skillsregistry.net/skills/io-github-swih-mistral-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-swih-mistral-mcp

## Description

Mistral AI MCP server: chat, OCR, Voxtral audio, Codestral FIM, vision, agents, batch.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.4.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Swih%2Fmistral-mcp)
- **Repository:** <https://github.com/Swih/mistral-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-swih-mistral-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-swih-mistral-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-swih-mistral-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt