MCP Knowledge Base

@gmogmzGithub

Basic information

About MCP Knowledge Base

A lightweight knowledge base assistant using MCP with LLM integration. Features a streamlined server-client architecture combining custom tools with a knowledge base, all accessible via SSE transport. Ideal for building simple AI-powered knowledge assistants.

MCP Knowledge Base config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP Knowledge Base tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Knowledge Base?

A simple MCP client‑server application that uses OpenAI to answer questions from a built‑in knowledge base. It is intended for learning the MCP protocol or building a custom Q&A system.

How to use MCP Knowledge Base?

Install dependencies with Poetry, set your OpenAI API key in a .env file, start the server via poetry run python server.py, and run the client with poetry run python client-sse.py. The client offers two modes: direct tool calls (uncomment the test line) or LLM‑powered interactions that interpret natural‑language queries.

Key features of MCP Knowledge Base

MCP server exposing tools via decorators
MCP client with LLM query interpretation
Knowledge base stored in data/kb.json
Direct tool‑call mode for testing
LLM‑powered mode for natural‑language questions

Use cases of MCP Knowledge Base

Learn the MCP client‑server architecture interactively
Build a domain‑specific Q&A system with a custom knowledge base
Prototype tool calls with or without an LLM orchestrator

Frequently asked questions

What are the runtime requirements?

Python 3.9 or higher, Poetry for dependency management, and a valid OpenAI API key.

How do I change the knowledge base content?

Edit the `data/kb.json` file with the Q&A pairs you want to use.

How do I add a new server tool?

Define a new Python function decorated with `@mcp.tool()` inside `server.py`.

How do I run the client without an LLM?

Uncomment the `asyncio.run(test_direct_tool_calls())` line in `client-sse.py` to call tools directly.

How do I change the LLM model used?

Modify the `model` parameter in the `MCPClient` initialization inside `client-sse.py`.

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