Overview
Part of the Memgraph AI Toolkit, the Memgraph MCP Server implements the Model Context Protocol to enable AI-driven access to Memgraph tooling. It exposes Memgraph operations and utilities through a lightweight STDIO protocol, allowing external clients such as language models or automation agents to send requests and receive structured responses over standard input/output streams. This MCP-enabled interface aligns with the toolkit's goal of providing AI-powered graph tooling in a cohesive mono-repo, alongside the core toolbox and LangChain integration. The README indicates that the MCP server is distributed as an integration package (mcp-memgraph) and that its usage is accompanied by MCP-specific examples and testing guidance. Developers can install the MCP integration in editable mode and run its tests with pytest, ensuring compatibility with Memgraph and other components in the repository. The MCP server thus provides a simple, protocol-based bridge that lets AI workflows invoke Memgraph tooling in a scalable, language-agnostic way.
Features
MCP server implementation
Exposes Memgraph tools over a lightweight STDIO protocol.
Who Is This For?
- AI developers:Access Memgraph tooling via MCP in AI/ML workflows over STDIO.




