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How to call tools with Mistral AI using MCP servers
- Europe's leading AI models can access a variety of tools by connecting Mistral's AI API to MCP servers.
- Tutorial focuses on building helper functions to connect MCP servers to Mistral's API for data fetching and summarizing.
- Setup includes environment preparation, dependency installation, and configuring TypeScript for project setup.
- To use Mistral AI models via API, registration on Mistral AI console is required to obtain an API key.
- Connecting to Mistral API involves calling Mistral's AI models for tasks like poem creation about specific topics.
- Adding MCP servers like fetch and filesystem allows AI models to perform tasks like fetching data and writing files.
- Listing available tools from MCP servers requires converting server data to Mistral-compatible format for AI model usage.
- Converting tool call responses between MCP and Mistral formats enhances the communication between AI models and servers.
- Returning tool results to the API involves converting output to Mistral message format for further processing by AI models.
- This setup enables AI agents to communicate with MCP servers, perform tasks, and return results efficiently.
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