Graphiti MCP Server

Graphiti MCP Server

Public
getzep/graphiti

Build and query real-time, temporally-aware knowledge graphs for AI agents with incremental updates, hybrid semantic and graph-based retrieval, and scalable, context-rich memory integration via the Model Context Protocol.

python
0 tools
May 30, 2025
Updated Jun 4, 2025

Supercharge Your AI with Graphiti MCP Server

MCP Server

Unlock the full potential of Graphiti MCP Server through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.

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Configuration Requirements
API Key
Configure authentication and required variables to access this MCP server
Required Environment Variables
AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME
Optional
string

Optional Azure OpenAI embedding deployment name

AZURE_OPENAI_DEPLOYMENT_NAME
Optional
string

Optional Azure OpenAI deployment name

AZURE_OPENAI_USE_MANAGED_IDENTITY
Optional
string

Optional use Azure Managed Identities for authentication

NEO4J_URI
Optional
string

URI for the Neo4j database

Default: bolt://localhost:7687
NEO4J_USER
Optional
string

Neo4j username

Default: neo4j
AZURE_OPENAI_EMBEDDING_API_VERSION
Optional
string

Optional Azure OpenAI API version

OPENAI_BASE_URL
Optional
string

Optional base URL for OpenAI API

NEO4J_PASSWORD
Optional
string

Neo4j password

Default: demodemo
AZURE_OPENAI_ENDPOINT
Optional
string

Optional Azure OpenAI endpoint URL

MODEL_NAME
Optional
string

Optional model name to use for LLM inference

OPENAI_API_KEY
Optional
string

OpenAI API key (required for LLM operations)

AZURE_OPENAI_API_VERSION
Optional
string

Optional Azure OpenAI API version

Security Notice

Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.

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