memgraph/mcp-memgraph
by Various
Toolkit for building AI-driven graph apps on Memgraph, with LangChain, MCP, and agent implementations.
MCP
memgraph/mcp-memgraph
Added 1 June 2026
Overview
A Python toolkit for building graph applications on Memgraph that use AI. It provides integrations with LangChain, the Model Context Protocol (MCP), and agent implementations.
Best for
Best for
Developers working with Memgraph who need to add AI capabilities to graph applications
Use cases
- Build graph-based agents with LangChain
- Integrate Memgraph with the Model Context Protocol for tool execution
- Create retrieval-augmented generation systems on graph data
Notes
A Python toolkit for building graph applications on Memgraph that use AI. It provides integrations with LangChain, the Model Context Protocol (MCP), and agent implementations.
102 stars on GitHub. Last updated 2026-06-01. Licensed MIT.
Use cases
- Build graph-based agents with LangChain
- Integrate Memgraph with the Model Context Protocol for tool execution
- Create retrieval-augmented generation systems on graph data
Pros
- Provides ready-to-use integrations for popular AI frameworks
- Open-source Python code with 102 GitHub stars
- Tailored specifically for the Memgraph graph database
Cons
- Low community adoption relative to more established tools
- Limited to Memgraph ecosystem, not database-agnostic
- Documentation and examples may be sparse
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides ready-to-use integrations for popular AI frameworks
- Open-source Python code with 102 GitHub stars
- Tailored specifically for the Memgraph graph database
Cons
- Low community adoption relative to more established tools
- Limited to Memgraph ecosystem, not database-agnostic
- Documentation and examples may be sparse
Pairs with
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