What is Knowledge Graph MCP Server?

Knowledge Graph MCP Server is a Model Context Protocol server. An MCP server for tracking student learning via a knowledge graph, with spaced repetition scheduling, mastery tracking, misconception tracking, and Mermaid visualization.

How do I install Knowledge Graph MCP Server?

Install or launch Knowledge Graph MCP Server with python -m knowledge_graph_mcp.server.

What environment variables does Knowledge Graph MCP Server use?

Knowledge Graph MCP Server lists these environment variables: KNOWLEDGE_GRAPH_DB_PATH, PORT.

Which transports does Knowledge Graph MCP Server support?

Knowledge Graph MCP Server is listed with stdio transport support.

Where can I verify Knowledge Graph MCP Server?

Verify Knowledge Graph MCP Server against its upstream source at https://github.com/zcsabbagh/knowledge-graph-mcp.

Knowledge Graph MCP Server

io.github.zcsabbagh/knowledge-graph-mcp

Documentation

Installation

Smithery: npx @smithery/cli install @zcsabbagh/knowledge-graph-mcp --client claude
Source:
- git clone https://github.com/zcsabbagh/knowledge-graph-mcp.git
- cd knowledge-graph-mcp
- pip install -e .

Run

python -m knowledge_graph_mcp.server

Configuration

KNOWLEDGE_GRAPH_DB_PATH: overrides the default SQLite database path (~/.knowledge_graph/knowledge.db).
PORT: when set, the server starts streamable HTTP mode on 0.0.0.0:<port> instead of stdio.

Capabilities

SQLite-backed concept graph
Node and edge creation/update
Multi-dimensional mastery tracking
SM-2 spaced repetition scheduling
Misconception tracking
Learning-path and review queries
Mermaid visualization output

Limitations

Local SQLite storage is the default backend.
HTTP mode is only enabled when PORT is set.
No additional CLI flags are documented in the repository.