electrical_services

Mistral MCP Server — Hosted Ai, Any AI Agent

MCP Server language Hosted language Public

Chat with Mistral's frontier models, embed text, fill in code with Codestral, and manage fine-tuning jobs to train custom models on your data.

@aerostack verified

• v0.1.0 • MIT • Updated Jun 28, 2026

add_circleAdd to Workspace

robot_2

Use with AI AssistantsMCP

Connect Claude, Cursor, or any MCP-compatible client — then call tools directly

① Add This MCP Server

Paste into your AI client config — then all its tools are available instantly.

.claude/mcp.json

{
  "mcpServers": {
    "mistral": {
      "url": "https://mcp.aerostack.dev/s/aerostack/mcp-mistral",
      "headers": {
        "Authorization": "Bearer YOUR_AEROSTACK_TOKEN"
      }
    }
  }
}

Replace YOUR_AEROSTACK_TOKEN with your API token from the dashboard.

② Call a Tool

Ask your AI assistant to call a specific tool, or send raw JSON-RPC:

+7 more

Natural Language Prompt

“Use the _ping tool to verify mistral credentials by calling a lightweight read endpoint. used internally by aerostack to validate credentials”

Using a Workspace?

Add this MCP to your Workspace — your team shares one token, secrets are stored securely, and every AI agent in the workspace can call it without per-user setup.

add_circleAdd to Workspace

description Overview

mcp-mistral — Mistral MCP Server

Chat with Mistral's frontier models, embed text, fill in code with Codestral, and manage fine-tuning jobs to train custom models on your data.

Live endpoint: https://mcp.aerostack.dev/s/aerostack/mcp-mistral

What You Can Do

This MCP server gives AI agents access to Mistral via 12 tools. Connect it to any Aerostack workspace and your agents can interact with Mistral directly.

Available Tools

Tool	Description
`chat`	Send messages to a Mistral model and receive a response. Supports multi-turn conversations, system prompts, and JSON mode
`embed`	Generate text embeddings using Mistral Embed model for semantic search and similarity tasks
`fill_in_middle`	Fill in the middle of code using Codestral — provide prefix and suffix code, get completion
`list_models`	List all available Mistral models including fine-tuned and base models
`get_model`	Get details about a specific Mistral model by its ID
`upload_file`	Upload a file to Mistral for use in fine-tuning jobs. Returns a file ID
`list_files`	List all uploaded files in your Mistral account
`delete_file`	Delete an uploaded file from your Mistral account
`create_fine_tuning_job`	Create a fine-tuning job to train a custom Mistral model on your data
`list_fine_tuning_jobs`	List all fine-tuning jobs with their status, model, and created date
`get_fine_tuning_job`	Get details and current status of a specific fine-tuning job
`cancel_fine_tuning_job`	Cancel a running fine-tuning job

Configuration

Variable	Required	Description
`MISTRAL_API_KEY`	Yes	Your Mistral API key — found at console.mistral.ai/api-keys

Quick Start

Add to Aerostack Workspace

Go to aerostack.dev → Your Project → MCPs
Search for "Mistral" and click Add to Workspace

Add the following secrets under Project → Secrets:

MISTRAL_API_KEY

Once added, every AI agent in your workspace can use Mistral tools automatically.

Direct API Call

curl -X POST https://mcp.aerostack.dev/s/aerostack/mcp-mistral \
  -H 'Content-Type: application/json' \
  -H 'X-Mcp-Secret-MISTRAL-API-KEY: your-mistral-api-key' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"chat","arguments":{}}}'

License

MIT

terminal Tools (13)

Available tools on this MCP server. Each tool can be called directly from any AI agent.

terminal

_ping #1

Verify Mistral credentials by calling a lightweight read endpoint. Used internally by Aerostack to validate credentials.

terminal

chat #2

Send messages to a Mistral model and receive a response. Supports multi-turn conversations, system prompts, and JSON mode

terminal

embed #3

Generate text embeddings using Mistral Embed model for semantic search and similarity tasks

terminal

fill_in_middle #4

Fill in the middle of code using Codestral — provide prefix and suffix code, get completion

terminal

list_models #5

List all available Mistral models including fine-tuned and base models

terminal

get_model #6

Get details about a specific Mistral model by its ID

terminal

upload_file #7

Upload a file to Mistral for use in fine-tuning jobs. Returns a file ID

terminal

list_files #8

List all uploaded files in your Mistral account

terminal

delete_file #9

Delete an uploaded file from your Mistral account

terminal

create_fine_tuning_job #10

Create a fine-tuning job to train a custom Mistral model on your data

terminal

list_fine_tuning_jobs #11

List all fine-tuning jobs with their status, model, and created date

terminal

get_fine_tuning_job #12

Get details and current status of a specific fine-tuning job

terminal

cancel_fine_tuning_job #13

Cancel a running fine-tuning job

Details

upgrade Version 0.1.0

gavel License MIT

wifi Transport streamable-http

lock Access Public

category Category AI

terminal Tools 13

language Live Endpoint

https://mcp.aerostack.dev/s/aerostack/mcp-mistral

Sub-50ms globally · Zero cold start

Publisher

@aerostack verified

Pre-built functions for the most common MCP tool patterns. Clone, extend, and deploy.

Frequently asked questions

What is the Mistral MCP server and what can it do? +

The Mistral MCP server is hosted on Aerostack and exposes these tools to your AI agent: `_ping`, `chat`, `embed`, `fill_in_middle`, `list_models`. You get one hosted URL — no self-hosting — that works from Claude, Cursor, ChatGPT, Gemini, VS Code, or any MCP-compatible client, and you can share it with your team or combine it with other MCP servers in a workspace.

Is the Mistral MCP server hosted, or do I have to run it myself? +

It's hosted on Aerostack's edge infrastructure — you don't deploy or maintain anything. Add it to a workspace and you get one authenticated URL, with secrets encrypted, that any AI agent or editor can connect to. Use it solo or share the same URL across your whole team.

Which AI agents and editors can use the Mistral MCP server? +

Any MCP client: Claude and Claude Code, Cursor, ChatGPT, Gemini, Windsurf, Cline, VS Code, and custom agents. Because it's one hosted URL, the same Mistral MCP server works everywhere — and you can compose it with other MCP servers, skills, and functions behind a single workspace URL.

How do I install the Mistral MCP server in Claude Desktop? +

Add the following to your Claude Desktop config (`claude_desktop_config.json`): ```json { "mcpServers": { "@aerostack/mcp-mistral": { "command": "npx", "args": ["-y", "@aerostack/@aerostack/mcp-mistral"] } } } ``` Then restart Claude Desktop and the tools will appear automatically.

How do I use the Mistral MCP server in Cursor? +

In Cursor, open **Settings → MCP** and add: ```json { "name": "@aerostack/mcp-mistral", "command": "npx", "args": ["-y", "@aerostack/@aerostack/mcp-mistral"] } ``` Save and reload Cursor. The MCP tools will be available in Agent mode.

Does Mistral MCP require authentication? +

Yes. Mistral requires authentication. Check the MCP's documentation for the required credentials.

Mistral MCP Server — Hosted Ai, Any AI Agent

description Overview

mcp-mistral — Mistral MCP Server

What You Can Do

Available Tools

Configuration

Quick Start

Add to Aerostack Workspace

Direct API Call

License

terminal Tools (13)

Details

Publisher

Tags

More in AI

Canva Design Platform

Intercom Messaging

Anthropic

Vercel Deployments

Gmail

Mailchimp

Frequently asked questions