MCP + Ollama Local Tool Calling Example

What is MCP + Ollama Local Tool Calling Example?

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 (e.g., Llama3).

How to use the project?

To use this project, install the required packages, run the LLM model, start the MCP server, and then run the MCP client to interact with it.

Key features of the project?

• Understands user intent and dynamically selects the correct actions.
• Operates fully offline and locally.
• Supports function calling for mathematical operations like addition and multiplication.

Use cases of the project?

1. Building smart local AI agents that can perform calculations.
2. Creating autonomous developers that can execute code based on user queries.
3. Developing local intelligent assistants for secure AI workflows.

FAQ from the project?

• Can this project run without internet?

Yes! It operates fully offline and locally.

• What programming language is used?

The project is implemented in Python.

• What kind of queries can it handle?

It can handle mathematical queries like addition and multiplication.