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MCP KnowledgeBase Server

@mbcrawfo

Repository

Basic information

Category

Databases

License

MIT

Transports

stdio

Author

mbcrawfo

About MCP KnowledgeBase Server

Model Context Protocol (MCP) server allowing LLMs to store and search knowledge in a SQLite database

MCP KnowledgeBase Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "knowledgebase": {
      "command": "docker",
      "args": [
        "run",
        "--interactive",
        "--rm",
        "--volume",
        "knowledgebase:/db",
        "mbcrawfo/knowledge-base-server"
      ]
    }
  }
}

MCP KnowledgeBase Server 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 KnowledgeBase Server?

MCP KnowledgeBase Server is a Model Context Protocol (MCP) server that allows LLMs to store memories during a conversation and search them later. Memories are stored in a SQLite database, and its full text search features power the memory search.

How to use MCP KnowledgeBase Server?

Deploy via Docker with a persistent volume or run locally with the .NET 9 SDK. Configure the server in claude_desktop_config.json using the provided examples. Control the database location with the environment variables DATABASE_NAME or DATABASE_PATH. A default "General Memory Usage" prompt is included to guide the LLM.

Key features of MCP KnowledgeBase Server

  • Store memories during LLM conversations
  • Search memories using SQLite full text search
  • Docker deployment with persistent volume support
  • Local deployment with .NET 9 SDK
  • Custom database location via environment variables
  • Includes a default memory usage prompt for LLMs

Use cases of MCP KnowledgeBase Server

  • Storing user preferences across conversations for personalized AI responses
  • Building a searchable long-term memory for AI assistants
  • Enabling context-aware recall of past interactions

Frequently asked questions

1

What are the runtime requirements for MCP KnowledgeBase Server?

For local deployment, the .NET 9 SDK is required. For containerized deployment, Docker is needed.

2

How can I control where the database is stored?

Set `DATABASE_NAME` to use a custom filename in the default location, or set `DATABASE_PATH` to specify the full path to the database file. Using `DATABASE_PATH` ignores `DATABASE_NAME`.

3

What database does MCP KnowledgeBase Server use?

It uses SQLite with full text search capabilities.

4

Can I customize the prompt given to the LLM?

The server includes a "General Memory Usage" prompt by default, but you can replace it with a custom prompt to be more specific to your usage.

5

How do I persist data when using Docker?

Create a Docker volume named `knowledgebase` and mount it to `/db` in the container. For a custom database file, pass the `DATABASE_PATH` environment variable via `--env`.

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