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M MCP Servers Developer low

centralmind/gateway

by Various

Universal MCP-Server for your Databases optimized for LLMs and AI-Agents.

C

MCP

centralmind/gateway

Added 1 June 2026

#amazon-bedrock #anthropic-claude #api #automatic-api #clickhouse #duckdb #elasticsearch #golang

Overview

A Go-based MCP server that connects databases to LLMs and AI agents. It provides a universal interface for agents to query and interact with databases through the Model Context Protocol.

Best for

Best for
Developers who want to give AI agents read-only database access via a standard protocol

Use cases

  • Let an AI agent run SQL queries against a production database via a standardized API
  • Expose database tables and schemas to LLMs for natural language querying
  • Integrate database access into MCP-compatible agent frameworks

How to use

Install

docker run --platform linux/amd64 -p 9090:9090 ghcr.io/centralmind/gateway:v0.2.18 start --connection-string "postgres://db-user:db-password@db-host/db-name?sslmode=require"

Tools exposed

  • docker

Tested with

Cursor, Claude Desktop, ChatGPT

Notes

A Go-based MCP server that connects databases to LLMs and AI agents. It provides a universal interface for agents to query and interact with databases through the Model Context Protocol.

531 stars on GitHub. Last updated 2025-07-18. Licensed Apache-2.0.

Use cases

  • Let an AI agent run SQL queries against a production database via a standardized API
  • Expose database tables and schemas to LLMs for natural language querying
  • Integrate database access into MCP-compatible agent frameworks

Pros

  • Single Go binary with no heavy dependencies for easy deployment
  • Works with any database that supports MCP
  • Optimized specifically for LLM read queries and schema exploration

Cons

  • Limited to read queries for safety, not for write operations
  • Requires running a separate service next to your database
  • Small community and limited plugin ecosystem

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Single Go binary with no heavy dependencies for easy deployment
  • Works with any database that supports MCP
  • Optimized specifically for LLM read queries and schema exploration

Cons

  • Limited to read queries for safety, not for write operations
  • Requires running a separate service next to your database
  • Small community and limited plugin ecosystem

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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