Database Management Servidores MCP

MySQL

36

Provides read-only access to MySQL databases.

MSSQL

36

Enables secure and structured interaction with Microsoft SQL Server (MSSQL) databases for AI assistants.

Go MySQL

35

Provides a zero-burden Model Context Protocol (MCP) server for interacting with MySQL databases and automating tasks without requiring Node.js or Python.

A2A ADK

35

Secures database queries through a multi-agent architecture using the A2A protocol, Agent Development Kit, and Model Context Protocol.

Chroma

35

Provides vector database capabilities through Chroma for semantic document search and management.

Databricks Connector

35

Connects LLMs to Databricks, enabling natural language interaction with SQL warehouses and job management.

Trino

34

Implements a Model Context Protocol (MCP) server for Trino in Go, enabling AI assistants to interact with Trino's distributed SQL query engine.

ArangoDB

33

Facilitates database interactions with ArangoDB through a Model Context Protocol (MCP) server.

Augmented Nature ChEMBL

33

Provides advanced access to the ChEMBL chemical database through a Model Context Protocol (MCP) server.

Mssql

32

Enables interaction with MSSQL databases, facilitating SQL query execution and business intelligence tasks.

Dremio

29

Eases LLM integration with Dremio through a Model Context Protocol server.

GraphRAG

29

Enables querying of a hybrid graph and vector database using the Model Context Protocol for enhanced document retrieval.

Iceberg

28

Provides an MCP server for Apache Iceberg catalogs, enabling metadata access and management.

Direwolf

28

Enables robust data extraction, manipulation, and transformation for BIM applications, specifically Autodesk Revit, to facilitate communication with MCP-compatible AI agents.

Redash

28

Integrates Redash with AI assistants like Claude via a Model Context Protocol (MCP) server.

Redis

27

Enables LLMs to interact with Redis key-value stores through standardized tools.

Memory

27

Implements long-term memory capabilities for AI assistants by leveraging PostgreSQL and pgvector for efficient vector similarity search.

Aws Athena

27

Enables AI assistants to execute SQL queries against AWS Athena databases and retrieve results.

FocusSearch

27

Converts natural language into SQL queries using keyword parsing for improved accuracy and speed.

Prometheus

27

Enables Large Language Models (LLMs) to query, analyze, and interact with Prometheus databases through predefined routes.