Memgraph

Knowledge Graph Memory

Build and query persistent semantic networks for data management.

MemoryMesh

Store and query structured data in local knowledge graphs.

Axiom Query

Axiom's MCP server enables AI agents to query and analyze large datasets in real-time using Axiom Processing Language.

Neo4j Graph

Interact with Neo4j graph databases to query, analyze, and manipulate data.

Cognee

AI-friendly database and knowledge-management capabilities via various database schemes.

Knowledge Graph Memory

Provides a knowledge graph management system for storing, retrieving, and querying information to build and maintain long-term memory across conversations.

Code Analysis

Integrates code analysis using a Neo4j graph database to enable structural insights, quality metrics, and natural language querying of codebases.

MongoDB

Bridges MongoDB databases with AI systems, enabling document retrieval and analysis through standardized queries and operations.

Optimized Memory

Integrates with SQLite to provide a persistent knowledge graph for efficient memory management and relationship modeling across conversations.

MySQL

Connects AI systems to MySQL databases for executing SQL queries and performing complex data operations without direct database access.

Neo4j

Integrates with Neo4j graph databases to enable natural language querying, node creation, and complex graph operations for knowledge exploration and data relationship modeling.

Knowledge Graph

Enables persistent memory and structured knowledge management for enhanced personalization and context retention in natural language interactions through a local graph database.

Neo4j Graph

Integrates Neo4j graph databases, enabling natural language interactions for complex relationship modeling and graph-based analytics.

LibSQL Memory

Provides a LibSQL-based persistent memory database for storing and retrieving knowledge graph entities and relations across conversations.

Memories with Lessons

Enables persistent memory and error tracking for assistants using a local knowledge graph structure with transactional operations, file management, and caching.

GraphQL Explorer

Integrates with GraphQL APIs to enable secure data retrieval, query execution, and schema exploration for AI applications

Graphlit

Integrates with the Graphlit platform to enable natural language processing tasks and data retrieval from the Graphlit ecosystem.

Memory Graph

Provides long-term memory storage for LLM conversations using Redis Graph, enabling persistent knowledge graphs for maintaining context across interactions and building complex information networks.

Gel Database

Integrates with Gel databases to enable automated schema discovery, query validation, and execution of EdgeQL and TypeScript queries for database interactions and management tasks.

Memory Custom

Provides a knowledge graph-based memory system for creating, managing, and querying structured information with features like custom file paths, timestamping, and advanced search capabilities.

ScapeGraph

Integrates with ScapeGraph API to enable web scraping and graph-based data analysis for efficient extraction and processing of large-scale web data.

GraphQL Schema

Enables AI models to explore and understand GraphQL schemas through specialized tools for querying operations, looking up type definitions, pattern matching, and retrieving simplified field information.

Mem0

Integrates with mem0.ai to store, retrieve, and semantically search coding preferences, snippets, and programming knowledge through a persistent FastMCP server using SSE connections.

Neo4j Graph Database

Connects AI systems to Neo4j graph databases for executing Cypher queries, exploring database schemas, and performing complex graph analysis tasks like relationship mapping, path discovery, and community detection.

Neo4j Knowledge Graph

Provides a Neo4j-powered knowledge graph storage solution for maintaining complex relationships between data points with persistent memory across conversations and efficient fuzzy search capabilities.

Apache AGE Graph

Bridges Claude with PostgreSQL databases using Apache AGE graph extension, enabling natural language execution of Cypher queries for graph operations, relationship analysis, and data visualization without complex SQL.

Grafana

Connects AI systems to Grafana monitoring dashboards, enabling access to visualization data, dashboards, folders, and datasources for enhanced monitoring workflows and infrastructure troubleshooting.

Memory Knowledge Graph

Provides a persistent knowledge graph system for maintaining structured memory across conversations, enabling creation, querying, and management of entities and relationships through specialized graph operation tools.

Raphtory GraphQL Schema Explorer

Enables AI systems to explore and understand graph structures in Raphtory databases through GraphQL schema queries, property relationship analysis, and detailed information retrieval for effective query construction.

MySQL

Enables AI models to interact with MySQL databases through a structured interface.

MemoBase

Provides a bridge between AI assistants and the MemoBase API for managing conversation context and personal knowledge through JSON-RPC over stdio, enabling persistent user data storage and contextual information retrieval during conversations.

MySQL

Enables AI models to interact with MySQL databases by providing tools for listing tables, retrieving schemas, and executing read-only SQL queries with safe transaction handling.

Metabase

Provides a bridge between databases and external tools, enabling metadata retrieval, schema exploration, and secure action execution across Metabase database systems through an encrypted configuration interface.

NebulaGraph

Provides a lightweight server for seamless access to NebulaGraph 3.x graph databases, enabling graph schema exploration, query execution, and advanced graph-based operations like path finding and neighbor discovery.

Dgraph

Connects language models to Dgraph graph databases, enabling DQL queries, mutations, and schema management for seamless database interactions without context switching.

Gemini AI

Provides a robust interface to Google's Gemini AI models with specialized tools for content generation, chat functionality, function calling, and file/cache management.

Hasura GraphQL

Enables AI interaction with Hasura GraphQL endpoints for schema discovery, data querying, and database operations through a comprehensive set of database tools

Logseq

Enables AI interaction with Logseq knowledge graphs for capturing notes, organizing information, and retrieving knowledge from personal databases

Gibson AI

Allows interaction with GibsonAI cloud databases.

AWS Amplify Data

Bridges AI systems with AWS Amplify Data APIs, enabling GraphQL-based data model interaction without requiring complex query writing

Metabase

Connects to Metabase analytics platforms to enable conversational access to business intelligence data through tools for listing dashboards, executing saved questions, and running custom SQL queries.

Neo4j

Provides natural language interfaces to Neo4j graph databases for executing Cypher queries, storing knowledge graph data, and building persistent memory structures through conversational interactions.

Microsoft Graph (Entra)

Provides a secure bridge between Microsoft Graph API and AI systems for querying Microsoft 365 data without requiring direct access to credentials.

Vertex AI Gemini

Provides a bridge to Google Cloud's Vertex AI Gemini models with web search grounding, direct knowledge answering, and documentation-based responses through configurable tools and streaming support.

MySQL Schema Explorer

Enables AI to explore and interact with MySQL database schemas for documentation, query building, and schema analysis without direct database access.

YDB

Provides a bridge between AI and YDB databases, enabling natural language interactions for executing SQL queries, exploring schema information, and retrieving connection status.

GraphQL Bridge

Provides a bridge between MCP clients and GraphQL APIs, enabling introspection of schemas and execution of arbitrary operations with full support for queries, mutations, variables, and authentication.

Arc Memory Temporal Knowledge Graph

Provides a bridge to the Arc Memory Temporal Knowledge Graph, enabling structured access to repository history, entity relationships, and code provenance without manual navigation of complex codebases.

Graphiti

Provides a temporal knowledge graph system for storing, retrieving, and reasoning about relationships between entities with persistent memory across conversations

TigerGraph

Integrates with TigerGraph graph databases to enable direct interaction with graph data through specialized tools for vertex manipulation, schema retrieval, and query execution.

Mem0.ai Memory Manager

Integrates with Mem0.ai's memory management system to provide structured, persistent memory across conversations through a cognitive-inspired architecture that organizes information into short-term and long-term memory types.

Graphistry

GPU-accelerated graph visualization and analytics for LLMs.

McPoogle (MCP Search)

Search engine for discovering and exploring MCP servers, tools, and resources through Graphlit's knowledge API platform.

Apollo GraphQL

Enables AI agents to interact with GraphQL APIs by exposing operations as tools, supporting both local schema files and Apollo GraphOS integration with features for introspection and custom scalar mapping.

Grafbase

Command-line tool for managing GraphQL APIs with features for local development, federation, and deployment across various connectors including GraphQL, OpenAPI, and MongoDB.

MongoDB

FastAPI-based server that connects MongoDB databases to AI assistants, enabling data access with comprehensive trace management and logging capabilities.

RAG Memory

Provides a knowledge graph-enhanced retrieval system that combines vector search with graph-based relationships for persistent memory and contextual information retrieval

Adaptive Graph of Thoughts

Processes complex scientific queries through an 8-stage Graph-of-Thoughts pipeline that decomposes questions into hypotheses, gathers evidence, builds knowledge graphs in Neo4j, and provides confidence-scored conclusions with bias detection and falsifiability assessment for systematic research analysis.

Memento

Provides persistent memory capabilities through a SQLite-based knowledge graph that stores entities, observations, and relationships with full-text and semantic search using BGE-M3 embeddings for intelligent context retrieval across conversations.