mcp-client-server-example
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This project demonstrates how a local AI agent can understand user queries and automatically call Python functions using Model Context Protocol (MCP) and Ollama for running a local LLM.
The MCP + Ollama Local Tool Calling Example showcases the integration of Model Context Protocol (MCP) with Ollama to create a local AI agent capable of understanding user queries and executing Python functions automatically. The project involves a sequence where a user query is processed by an MCP client, which interacts with an Ollama LLM to determine the appropriate tool to call. The LLM selects the tool based on the query and available tool descriptions, and the MCP client executes the function via an MCP server. This setup allows for smart local AI agents that operate autonomously and offline, providing a secure and efficient way to handle user queries.
Features
- Local AI agent capable of understanding and executing user queries.
- Integration of Model Context Protocol (MCP) with Ollama for local LLM execution.
- Automatic tool selection and function execution based on user intent.
- Fully autonomous and offline operation.
- Secure and efficient handling of user queries.
