Neo4j Graph Data Platform

The Model Context Protocol (MCP) Integrations for the Neo4j Graph Database are designed to facilitate connections between Neo4j and tools or services that implement the MCP standard. MCP, introduced by Anthropic in November 2024, aims to simplify the integration of large language model (LLM) assistants with external data sources, APIs, services, and local systems. This protocol is supported by an open-source specification and a variety of SDKs in languages such as Python, TypeScript, and Java, enabling the development of both MCP servers and clients.

The MCP architecture is built around the concept of an MCP Host program, which can be configured with multiple MCP Servers. These servers provide capabilities such as tools for data retrieval or action execution, access to static or dynamic resources, and prompts that guide multi-step user interactions. When a user or agent requests a task during an interaction, the LLM selects the appropriate tool, extracts parameters, and invokes the tool through an MCP Client connected to an MCP Server. 1 for authentication.

MCP Integrations are relevant for developers building applications that require seamless interaction between Neo4j and LLM-driven assistants, or those seeking to expose Neo4j capabilities as part of a broader ecosystem of MCP-compatible tools and services. The protocol's adoption by major cloud, infrastructure, and LLM providers, as well as agent frameworks like LangChain and CrewAI, underscores its growing role in enabling agentic workflows and AI-powered applications.

However, it positions these integrations as part of the broader frameworks and SDKs class, specifically targeting scenarios where Neo4j is to be accessed or controlled via the Model Context Protocol.