AI Agent for Memgraph
Effortlessly connect Memgraph with leading Large Language Models (LLMs) using the Model Context Protocol (MCP). The Memgraph MCP Server enables seamless, real-time graph database interaction for AI-driven applications, making querying, schema discovery, and database integration simple and secure. Ideal for building graph-powered intelligent agents and automating data workflows.
Real-Time Cypher Query Execution
Run Cypher queries against your Memgraph database directly from your favorite LLM interface. Instantly retrieve data, unlock insights, and automate graph operations with secure and efficient protocol-based connectivity.
- run_query().
- Execute Cypher queries from LLMs for dynamic data retrieval and graph analytics.
- Lightning-Fast Integration.
- Connect Memgraph with LLMs in minutes, enabling rapid prototyping and deployment.
- Secure Protocol.
- Leverage Model Context Protocol (MCP) for safe, robust, and scalable AI interactions.
- AI Workflow Ready.
- Designed for seamless compatibility with AI agents, accelerating graph-based intelligence.
Automated Schema Discovery
Access and understand your Memgraph database structure instantly with the get_schema() resource. Empower your LLMs and agents to query and visualize graph schemas on demand, improving productivity and reducing errors.
- get_schema().
- Retrieve up-to-date Memgraph schema details for informed, context-aware queries.
- Visualize Graph Structure.
- Easily visualize node and relationship types, improving database comprehension.
- Automated Setup.
- Enable schema info with a single configuration for instant LLM compatibility.
Seamless LLM & Tooling Integration
Integrate Memgraph with Claude, LangChain, LlamaIndex, and more to maximize your graph database’s AI potential. The MCP Server is designed for future-proofing: upcoming TypeScript support and a unified AI toolkit for effortless expansion.
- Unified AI Toolkit.
- Part of the Memgraph AI Toolkit for streamlined multi-tool integration.
- Future Proof.
- Planned TypeScript support and ongoing enhancements for modern AI workflows.
MCP INTEGRATION
Available Memgraph MCP Integration Tools
The following tools are available as part of the Memgraph MCP integration:
- run_query
Run a Cypher query against Memgraph to retrieve or manipulate graph data using flexible, custom queries.
- get_schema
Retrieve Memgraph schema information including node and relationship definitions to enable dynamic integration.
Integrate LLMs with Memgraph Effortlessly
Start building intelligent, graph-powered applications by connecting Memgraph with your favorite large language models. Experience seamless integration with the Memgraph MCP Server—book a demo or try it for free today!
What is Memgraph
Memgraph is a leading provider of high-performance graph database and graph analytics solutions. The company empowers organizations to harness the full power of their data by enabling real-time analysis and visualization of complex relationships. Memgraph offers an in-memory, ACID-compliant graph database designed for speed and scalability, making it ideal for high-velocity environments and streaming data applications. Its platform is used by organizations like NASA and Cedars-Sinai to support AI-driven analytics, fraud detection, recommendation systems, and network analysis. Memgraph’s mission is to democratize advanced graph computations, providing accessible and powerful tools for businesses of all sizes to gain actionable insights from data streams.
Capabilities
What we can do with Memgraph
With Memgraph, users can leverage a high-performance graph database to analyze complex data structures in real time. The platform enables efficient streaming data computations, intuitive graph analytics, and seamless integration with existing data pipelines. Organizations can use Memgraph to detect fraud, power recommendation engines, optimize logistics, and perform advanced network analysis, all with low-latency performance and scalability.
- Real-time analytics
- Instantly analyze and visualize large-scale, connected data for business intelligence.
- Fraud detection
- Identify suspicious patterns and prevent fraud in financial transactions using graph algorithms.
- Recommendation engines
- Build context-aware recommendation systems by analyzing user and item relationships.
- Streaming data processing
- Ingest and compute on high-velocity data streams for up-to-date insights.
- Network optimization
- Model and optimize complex networks such as supply chains, IT infrastructure, and social graphs.
What is Memgraph
AI agents can greatly benefit from Memgraph by leveraging its high-speed graph computations on live streaming data. Memgraph provides an ideal environment for AI-driven tasks such as anomaly detection, predictive analytics, and relationship mapping, allowing agents to make data-driven decisions in real time. The platform's robust API and native support for complex graph queries streamline the integration of AI models, enabling more intelligent, context-aware, and responsive applications.