MCP Ollama Agent

by ausboss

This project integrates Model Context Protocol (MCP) servers with Ollama, enabling AI models to interact with various tools through a unified interface. It provides a chat interface and demo mode for testing web and filesystem tools.

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What is MCP Ollama Agent?

The MCP Ollama Agent is a TypeScript-based application that connects MCP servers (like filesystem and web research tools) to Ollama, allowing AI models to use these tools to answer questions and perform tasks.

How to use MCP Ollama Agent?

First, install Node.js and Ollama. Then, clone the repository, install dependencies using npm install, and configure the mcp-config.json file with your MCP server details and Ollama model. You can then run the demo mode with npx tsx ./src/demo.ts or start the chat interface with npm start.

Key features of MCP Ollama Agent

Supports multiple MCP servers
Built-in support for file system operations and web research
Easy configuration via mcp-config.json
Interactive chat interface with Ollama integration
Standalone demo mode for testing tools

Use cases of MCP Ollama Agent

Enabling AI models to access and manipulate files on a local system
Allowing AI models to perform web research and retrieve information
Building AI agents that can interact with various tools through a unified interface
Testing and experimenting with different MCP servers and Ollama models

FAQ from MCP Ollama Agent

What is MCP?

MCP stands for Model Context Protocol, a standard for allowing AI models to interact with external tools.

What is Ollama?

Ollama is a tool for running large language models locally.

What kind of MCP servers are supported?

The agent supports both Python (uvx) and Node.js (npx) MCP servers.

How do I configure the agent?

Configuration is done through the mcp-config.json file, where you specify the MCP servers and Ollama settings.

What if my model needs help with tool selection?

Customize the system prompt in ChatManager.ts to improve tool usage.