What runtime or dependencies are required?
Node.js is required. The server is installed via npm and runs as a command-line tool.
@ItamarZand88
Basic information
MCP server for GitHub Knowledge Graph exploration and analysis
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"github-knowledge-graph-mcp": {
"command": "npx",
"args": [
"github-knowledge-graph-mcp"
]
}
}
}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.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
The GitHub Knowledge Graph MCP Server generates and interacts with knowledge graphs of GitHub repositories using the Model Context Protocol (MCP). It enables AI models to analyze and explore code repositories through a structured graph.
Install globally with npm install -g github-knowledge-graph-mcp, then run github-kg-mcp or npx github-knowledge-graph-mcp. Configure environment variables like MCP_PORT, MCP_HOST, MCP_DATA_DIR, and MCP_LOG_LEVEL. To integrate with Claude Desktop, run npx github-knowledge-graph-mcp install-claude.
Node.js is required. The server is installed via npm and runs as a command-line tool.
By default, data is stored in `$HOME/.github-knowledge-graph/data`, configurable via `MCP_DATA_DIR`.
Run `npx github-knowledge-graph-mcp install-claude` to automatically add the server configuration to Claude Desktop.
The server uses the Model Context Protocol (MCP) over HTTP, with configurable host and port via `MCP_PORT` and `MCP_HOST`.
The README does not mention any authentication mechanism. The server binds to localhost by default.
Memlord is a remote MCP server available at https://app.memlord.com.
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Local-first MCP server that snapshots your project's working state into one context object. Open-core, privacy-first.

AI agents start every session with amnesia — you re-explain the project, repeat your preferences, and correct the same mistakes over and over. PLUR gives them a memory that persists. Your agent's corrections, preference

Serve your docs to AI agents over SSH and MCP. Agents use ls, cat, grep, find, and pipes against a virtual filesystem backed by your documentation. Identity-scoped access, governed writing with human approval, and portab
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