mcp graph agent
Using MCP (model context protocol) to interact with local files, Extracting structured knowledge from PDFs (and other docs), Ingesting them into Neo4j via GraphRAG, and Supporting intelligent tools like Streamlit LLM assistants
Repository Info
About This Server
Using MCP (model context protocol) to interact with local files, Extracting structured knowledge from PDFs (and other docs), Ingesting them into Neo4j via GraphRAG, and Supporting intelligent tools like Streamlit LLM assistants
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
The Docker command you've executed is correctly mounting your local /Users/ethancheung/Downloads directory to the container directory /projects.
node dist/index.js /Users/ethancheung/Downloads
*** to run streamlit streamlit run meta_frontend.py
run in terminal npx -y @modelcontextprotocol/server-filesystem /Users/ethancheung/Downloads
*** github mcp server https://github.com/aezizhu/simple-mcp-fileserver npm install pdf-parse npm install mammoth npm install xlsx npm install neo4j-driver
used to start the mcp server before you run the client node simple-mcp-fileserver.js
Quick Start
Clone the repository
git clone https://github.com/hkfcheung/mcp-graph-agentInstall dependencies
cd mcp-graph-agent
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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