Apache AGE Graph

PostgreSQL

Enhance your AI project development from SQL writing to performance optimization with comprehensive support.

Apollo GraphQL

Facilitates seamless interaction between AI agents and GraphQL APIs through tool-based access, accommodating local schema files and enabling integration with Apollo GraphOS. Includes functionality for introspection and personalized scalar mapping.

A2A Bridge

Integrates Google's Agent-to-Agent communication standard with MCP to facilitate agent identification, enrollment, communication, and operation coordination by converting protocols between A2A's JSON-RPC messaging and MCP's interface based on tools.

A2A Bridge

Facilitating connectivity between Claude Desktop and A2A protocol agents, the Model Context Protocol (MCP) enhances communication efficiency by offering agent registration, listing, and calling functionalities.

PostgreSQL

Explore PostgreSQL databases effortlessly with Model Context Protocol (MCP), offering seamless AI integration, multi-database compatibility, comprehensive schema insights, and confidential read-only transactions. Safeguard sensitive connection data while ensuring efficient data querying.

FalkorDB

Unleash the power of conversational search on graph databases through the transformation of inquiries into FalkorDB commands. Ideal for exploring relationships within knowledge graphs, recommendation engines, and network datasets.

Memgraph

Facilitates seamless communication between AI virtual assistants and Memgraph database, enabling the execution of Cypher queries, retrieval of schema details, and conducting data analysis using graphs. No need for manual query creation or managing connections.

MariaDB

Connects Claude and MariaDB databases to facilitate the execution of read-only SQL queries, allowing users to explore data via structured table outputs with enforced security measures for authorized actions.

NebulaGraph

Discover a streamlined server solution for effortless connectivity to NebulaGraph 3.x databases. Unlock insights through graph schema investigation, query processing, and cutting-edge graph operations such as path identification and neighboring node detection.

GraphQL Bridge

Facilitates seamless communication between users of MCPs and GraphQL interfaces, allowing in-depth examination of structures and flexible execution of diverse tasks, including queries, mutations, parameter use, and secure access validation.

PostgreSQL Alchemy

Empower your AI models by integrating them with PostgreSQL databases through Python and SQLAlchemy. This integration facilitates dynamic data retrieval and manipulation across various SQL languages, enhancing the flexibility of your querying processes.

Neo4j Graph Database

Enable seamless integration between artificial intelligence applications and Neo4j graph databases. Facilitate the execution of Cypher queries, navigation of database structures, and advanced graph analytics such as mapping connections, uncovering paths, and identifying communities within the data.

Apache Jena SPARQL

Facilitates seamless interaction between artificial intelligence agents and Apache Jena, enabling the execution of SPARQL queries, handling updates, and retrieving RDF data from Jena Fuseki servers using robust API key security measures.

MongoDB

Facilitates the seamless integration of MongoDB databases with artificial intelligence platforms, allowing for efficient document access and in-depth analysis via standardized search queries and functions.

DB Query

Effortlessly link artificial intelligence algorithms to various database platforms like PostgreSQL, MySQL, and SQLite to seamlessly run queries and fetch outcomes.