Model Context Protocol (MCP) server integrated with an external inference service (e.g., Ollama/Gemma3) via middleware.
Overview
What is the Simple MCP Server?
The Simple MCP Server is an implementation of the Anthropic Model Context Protocol (MCP) server that integrates with the Ollama inference service, allowing for efficient communication and context management between clients and AI models.
How to use the Simple MCP Server?
To use the Simple MCP Server, set up the server and middleware using Docker, and interact with it via API endpoints to send user messages and receive AI-generated responses.
Key features of the Simple MCP Server?
- Implements the official MCP protocol for compatibility with various clients.
- Middleware for communication with Ollama's Gemma model.
- Supports context management and conversation history.
- Provides standard prompt templates and error handling as per MCP specifications.
Use cases of the Simple MCP Server?
- Integrating AI inference capabilities into applications using the MCP protocol.
- Managing conversation contexts for chatbots and virtual assistants.
- Utilizing AI models for various tasks through a standardized interface.
FAQ from the Simple MCP Server?
- What is the purpose of the MCP Server?
The MCP Server facilitates communication between clients and AI models while managing conversation contexts.
- How do I install the Simple MCP Server?
You can install it using a setup script or manually by cloning the repository and using Docker.
- Is the Simple MCP Server compatible with other AI models?
Yes, it is designed to work with any client that supports the Model Context Protocol.