# mistral-ai-mcp

> Use this tool when you need to leverage OCR, TTS, and STT capabilities to automate text recognition, speech synthesis, and voice-to-text conversion tasks. It solves problems related to document processing, accessibility, and voice-enabled applications, providing a powerful interface for integrating Voxtral technology. Ideal for use cases requiring accurate text extraction, audio generation, or speech recognition, with inputs including images, text, and audio files, and outputs such as extracted text, synthesized audio, and transcribed speech.

Canonical page: https://skillsregistry.net/skills/tan-yong-sheng-mistral-ai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tan-yong-sheng-mistral-ai-mcp

## Description

MCP server for Mistral AI providing OCR, TTS, and STT capabilities via Voxtral.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nv9zdw1k3d)
- **Repository:** <https://github.com/tan-yong-sheng/mistral-ai-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": "tan-yong-sheng-mistral-ai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tan-yong-sheng-mistral-ai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tan-yong-sheng-mistral-ai-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