learnings-mcp

A Model Context Protocol (MCP) server for managing learning prompts.

What is MCP?

The Model Context Protocol is an open protocol that standardizes how applications provide context to LLMs. It enables AI applications like Claude to seamlessly integrate with external data sources and tools.

Related MCP server: Smart Prompts MCP Server

Installation

This MCP server is not published to npm. Install it directly from GitHub using Bun:

bun install github:nitsanavni/learnings-mcp

Or clone the repository:

git clone https://github.com/nitsanavni/learnings-mcp.git
cd learnings-mcp
bun install

Configuration

Claude Code CLI (User Scope)

If you're using the Claude Code CLI, you can add this MCP server globally for all your projects:

claude mcp add -s user learnings bunx -- github:nitsanavni/learnings-mcp --repository https://github.com/yourusername/your-learnings-repo.git --clone-location ~/.learnings/learnings

This adds the server to your user-level MCP configuration, making it available across all Claude Code sessions.

Claude Desktop

Add this server to your Claude Desktop configuration file:

macOS/Linux: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%\Claude\claude_desktop_config.json

Option 1: Run directly from GitHub (Recommended)

{
  "mcpServers": {
    "learnings": {
      "command": "bunx",
      "args": [
        "--bun",
        "github:nitsanavni/learnings-mcp",
        "--repository",
        "https://github.com/yourusername/your-learnings-repo.git",
        "--clone-location",
        "/path/to/clone/location"
      ]
    }
  }
}

CLI Arguments:

• --repository <path-or-url>: Repository path or GitHub URL for storing global learnings

• --clone-location <path>: Where to clone remote repositories (default: ~/.learnings/<repo-name>)

• --local-learnings-folder <path>: Local learnings folder relative to current directory (default: learnings)

This will automatically fetch and run the latest version from GitHub.

Note: To ensure you're running the latest version, you may need to clear Bun's cache:

bun pm cache rm

Option 2: Run from local clone

{
  "mcpServers": {
    "learnings": {
      "command": "bun",
      "args": [
        "run",
        "/ABSOLUTE/PATH/TO/learnings-mcp/index.ts",
        "--repository",
        "https://github.com/yourusername/your-learnings-repo.git",
        "--clone-location",
        "/path/to/clone/location"
      ]
    }
  }
}

Replace /ABSOLUTE/PATH/TO/learnings-mcp/ with the actual path where you cloned this repository.

Restart Claude Desktop

After updating the configuration, restart Claude Desktop for the changes to take effect.

Usage

Once configured, you can interact with learning prompts through Claude Desktop using the tools provided by this MCP server.

Global vs Local Learnings

The server supports two types of learnings:

• Global learnings: Stored in the repository specified by --repository. These are automatically committed and pushed to the remote repository (if it's a git repo). This is the recommended default for learnings you want to share across projects.

• Local learnings: Stored in a folder relative to your current working directory (default: learnings/, configurable via --local-learnings-folder). These are not committed to git automatically - they're just files on your local filesystem. Use these for project-specific or temporary learnings.

When listing or getting learnings, the server will show results from both global and local repositories. When adding a learning, you can specify scope: "global" (default) or scope: "local".

Development

This project uses Bun as its runtime.

To run locally:

bun run index.ts