Mistral AI

Mistral AI MCP Connector for Claude

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Build with European open-weight language models that deliver strong reasoning, multilingual capability, and efficient inference.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Connect your Mistral AI account to any AI agent and leverage Mistral's open and commercial models through natural conversation.

What you can do

  • Chat Completions — Generate text using Mistral Large, Small, and open models
  • Embeddings — Generate vector embeddings for RAG and semantic search
  • Model Management — List available models and check their capabilities
  • Usage Tracking — Monitor token usage and API limits
  • Fine-tuning — Manage fine-tuning jobs and custom models

How it works

  1. Subscribe to this server
  2. Enter your Mistral API Key
  3. Start using Mistral models from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Developers — build AI features using Mistral's fast endpoints
  • Data Scientists — run batch processing and embeddings
  • Enterprise — leverage secure European AI infrastructure
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10 tools expose this connector's capabilities to your AI agent.

chat_completion

Generate text using Mistral models

fix_grammar

Correct grammar and spelling

create_embeddings

Generate vector embeddings

explain_code

Explain logic in code

extract_entities

Extract data as JSON

generate_code

Write code snippets

list_models

List all available Mistral models

analyze_sentiment

Analyze text sentiment

summarize_text

Summarize long documents

translate_text

Translate text between languages

See how to talk to your AI agent using Mistral AI.

List all available Mistral models.

Available models: 8. 1) mistral-large-latest (Top tier reasoning). 2) mistral-small-latest (Cost-effective). 3) open-mixtral-8x22b (Open weights). 4) mistral-embed (Embeddings). 5) codestral-latest (Code generation). Plus 3 older versions.

Generate a completion using mistral-large-latest.

Generation complete! ✅ Model: mistral-large-latest. Output: 'Bonjour! Here is a concise explanation of quantum computing...' Tokens used: 45 prompt, 120 completion.

Generate embeddings for a list of 3 sentences.

Embeddings generated! ✅ Model: mistral-embed. Input: 3 sentences. Output: 3 vectors (Dimensions: 1024 each). Total tokens used: 48. Ready for vector DB insertion.

Access all available endpoints including `mistral-large-latest`, `mistral-small-latest`, `open-mixtral-8x22b`, and `mistral-embed`.

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