Mistral AI MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Mistral AI through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"mistral-ai": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Mistral AI Agent",
instructions:
"You help users interact with Mistral AI " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Mistral AI?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Mistral AI MCP Server
Connect your Mistral AI account to any AI agent and leverage European-built AI models through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Mistral AI tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Model Discovery — List all available Mistral models with their IDs, capabilities and context windows
- Chat Completions — Send conversations to Mistral models (large, small, codestral, nemo) and receive responses with configurable parameters
- Embeddings — Generate vector embeddings for semantic search, similarity comparison and vector storage
- Content Moderation — Check text for harmful categories (violence, hate, sexual, self-harm) with safety scores
- File Management — List and delete uploaded files used for batch processing and document AI
- Batch Processing — Create, track and cancel batch jobs for cost-effective asynchronous processing
The Mistral AI MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Mistral AI to Mastra AI via MCP
Follow these steps to integrate the Mistral AI MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Mistral AI via MCP
Why Use Mastra AI with the Mistral AI MCP Server
Mastra AI provides unique advantages when paired with Mistral AI through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Mistral AI without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Mistral AI tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Mistral AI + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Mistral AI MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Mistral AI, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Mistral AI as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Mistral AI on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Mistral AI tools alongside other MCP servers
Mistral AI MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Mistral AI to Mastra AI via MCP:
cancel_batch
Provide the batch ID. This is useful if you submitted a large batch by mistake and want to stop further processing. Cancel a running batch job
chat
Requires the model ID (e.g. "mistral-large-latest", "mistral-small-latest", "codestral-latest") and messages array in JSON format. Each message must have a "role" ("user", "assistant" or "system") and "content" (text). Optionally set max_tokens, temperature (0-1), top_p (0-1) and tools array for function calling. Returns the assistant's response. Send a chat message to a Mistral model
create_batch
Requires the input file ID (containing JSONL requests) and the endpoint (e.g. "/v1/chat/completions"). Returns the batch with its ID for tracking. Use list_batches and get_batch to monitor progress. Create a batch processing job
delete_file
Provide the file ID from list_files. WARNING: this action is irreversible. Delete an uploaded file from Mistral
embeddings
Requires the model ID and text input (string or array of strings). Returns embedding vectors for each input text. Useful for semantic search, similarity comparison and vector database storage. Generate embeddings using Mistral
get_batch
Provide the batch ID. Get details for a specific batch job
list_batches
Each batch shows its ID, status (queued, running, succeeded, failed, cancelled), input/output file IDs and request counts. List batch processing jobs
list_files
Files are used for fine-tuning, batch processing and document AI. Each file shows its ID, filename, purpose, size and upload date. List files uploaded to Mistral
list_models
Each model returns its ID (e.g. "mistral-large-latest", "mistral-small-latest", "codestral-latest"), display name, capabilities and context window. Use this to discover which models are available and their IDs for use with the chat tool. List all available Mistral AI models
moderate
). Requires the input text (string or array). Returns safety scores for each category. Useful for content filtering and safety checks before processing user input. Moderate text content with Mistral
Example Prompts for Mistral AI in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Mistral AI immediately.
"Send a message to Mistral Large asking 'What is the capital of France?'"
"List all available Mistral models."
"Moderate this text: 'I want to learn about AI safety and content filtering.'"
Troubleshooting Mistral AI MCP Server with Mastra AI
Common issues when connecting Mistral AI to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpMistral AI + Mastra AI FAQ
Common questions about integrating Mistral AI MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Mistral AI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Mistral AI to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.