MCP Client for Ollama
by jonigl
A Python client for interacting with Model Context Protocol (MCP) servers using Ollama, allowing local LLMs to use tools. It connects to MCP servers, sends queries to Ollama models, and handles tool calls.
Last updated: N/A
What is MCP Client for Ollama?
A Python-based client that connects to one or more Model Context Protocol (MCP) servers and uses Ollama to process queries with tool use capabilities. It's adapted from the Model Context Protocol quickstart guide and customized to work with Ollama.
How to use MCP Client for Ollama?
Install the client using pip or uvx. Configure MCP servers using command-line arguments or a JSON configuration file. Interact with the client through the terminal interface, using commands to manage tools, models, and context. Refer to the README for detailed installation and usage instructions.
Key features of MCP Client for Ollama
Multi-Server Support
Rich Terminal Interface
Tool Management
Context Management
Cross-Language Support
Auto-Discovery
Dynamic Model Switching
Configuration Persistence
Usage Analytics
Plug-and-Play
Update Notifications
Use cases of MCP Client for Ollama
Enabling local LLMs to access external tools and data sources
Building interactive applications that leverage LLMs and tool use
Experimenting with different LLM models and tool configurations
Integrating LLMs with existing systems and workflows
FAQ from MCP Client for Ollama
What is MCP?
What is MCP?
Model Context Protocol is a standard for allowing LLMs to use tools.
What is Ollama?
What is Ollama?
Ollama is a local LLM runtime.
How do I install the client?
How do I install the client?
Use pip, uvx, or install from source (see README for details).
How do I configure MCP servers?
How do I configure MCP servers?
Use command-line arguments or a JSON configuration file.
Where can I find more MCP servers?
Where can I find more MCP servers?
Check the official MCP Servers repository (https://github.com/modelcontextprotocol/servers).