Ollama Chat with MCP
by redbuilding
Ollama Chat with MCP demonstrates integrating local LLMs with real-time web search using the Model Context Protocol (MCP). It combines locally running LLMs via Ollama with web search functionality provided by an MCP server.
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What is Ollama Chat with MCP?
Ollama Chat with MCP is an application that extends the capabilities of a local language model by integrating it with real-time web search. It uses the Model Context Protocol (MCP) to allow the local model to access external tools and data sources.
How to use Ollama Chat with MCP?
First, clone the repository and install the dependencies. Then, create a .env file with your Serper.dev API key. Ensure Ollama is installed and the required model is available. You can then start either the web interface using python chat_frontend.py or the terminal client using python chat_client.py. Use special commands like #search to trigger web searches within the chat.
Key features of Ollama Chat with MCP
Web-enhanced chat with real-time search results
Local model execution using Ollama
MCP integration for accessing external tools
Dual interfaces: terminal CLI and web-based GUI
Structured search results for optimal context
Conversation memory to maintain context
Use cases of Ollama Chat with MCP
Enhancing local LLMs with up-to-date information
Building AI assistants with web search capabilities
Demonstrating the power of the Model Context Protocol
Creating custom chat applications with local LLMs
FAQ from Ollama Chat with MCP
What is Ollama?
What is Ollama?
Ollama is a tool that allows you to run language models locally.
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, which enables local models to access external tools and data sources.
Do I need a Serper.dev API key?
Do I need a Serper.dev API key?
Yes, a Serper.dev API key is required for the web search functionality.
Can I use a different LLM model?
Can I use a different LLM model?
Yes, you can change the Ollama model by modifying the model name in the chat client files.
How can I contribute to this project?
How can I contribute to this project?
Contributions are welcome! Please feel free to submit a Pull Request.