Database Management MCP 服务器

Glide API

Enables interaction with Glide API (v1 & v2) via the Model Context Protocol.

Db-Mcp-Tool

Explore and manage PostgreSQL, MySQL, and Firestore databases through a Model Context Protocol (MCP) interface.

Azure

Enables interaction with Azure services like Blob Storage, Cosmos DB, and App Configuration via the Model Context Protocol.

DolphinDB

Facilitates deployment and management of DolphinDB servers.

Mysql

Enables AI assistants to interact with MySQL databases through a secure, controlled interface.

DenoKV

Enables Deno KV as an MCP server, allowing Claude Desktop to interact with it.

DiceDB

Enables AI applications to interact with DiceDB databases via the Model Context Protocol (MCP).

PgSQL

Enables interaction with PostgreSQL databases via Model Context Protocol (MCP) calls.

Neo4j Server SSE

Enables interaction with Neo4j databases through a Model Context Protocol (MCP) server using Server-Sent Events (SSE).

PyODBC Server

Expose database functionalities through a lightweight Model Context Protocol (MCP) server using FastAPI and pyodbc.

Elasticsearch

Facilitates Elasticsearch data processing and search through Spring AI's Model Context Protocol.

Airy

Interact with databases using natural language queries powered by AI.

Postgres Pro Plus

Provides advanced management, performance tuning, and health monitoring capabilities for PostgreSQL databases.

Kusto

Enables AI agents to explore, query, and understand telemetry in Azure Data Explorer using KQL without manual query writing.

Redshift Utils

Enables AI assistants to monitor, diagnose, and query Amazon Redshift databases via the AWS Data API.

SQLite

Enables AI-powered interaction with SQLite databases for querying, creation, analysis, and visualization.

RoboSystems

Transforms complex financial data into actionable intelligence through graph-based analytics and AI-powered insights.

Codemode SQLite

Provides a high-performance SQLite server that enables LLMs to execute database operations efficiently through generated Go code or sequential tool calls.

MindPM

Provides LLMs with persistent, project-specific memory via a SQLite-backed Model Context Protocol server, eliminating the need to re-explain project context.

Kanoniv

Declaratively define, match, merge, and master entity data across systems to produce golden records.