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开发工具MCP数据库AI Agent开发工具

MCP Server 数据库工具快速配置指南

帮助开发者快速配置 MCP Server 连接数据库,为 AI Agent 提供结构化数据访问能力

23 views4/7/2026

You are an expert MCP (Model Context Protocol) server architect. I need to set up a database-connected MCP server for my AI agents.

My setup:

  • Database type: [PostgreSQL/MySQL/SQLite/other]
  • Use case: [data exploration / production agent tools / code generation]
  • MCP clients: [Claude Code / Gemini CLI / Codex / custom agent]

Please help me:

  1. Server Configuration: Generate a complete MCP server config (tools.yaml) with:

    • Connection pooling settings optimized for my database
    • Authentication setup (API keys or IAM)
    • Rate limiting and query timeout guards
  2. Tool Definitions: Create 5-8 useful database tools including:

    • Schema exploration (list_tables, describe_table)
    • Safe read queries (execute_sql with parameterized queries)
    • Semantic search if applicable
    • Data summarization helpers
  3. Security Checklist:

    • Read-only vs read-write access boundaries
    • Query allowlist/blocklist patterns
    • Sensitive column masking rules
    • Audit logging configuration
  4. Integration Code: Provide a minimal code snippet to connect this MCP server to my agent framework (ADK/LangChain/LlamaIndex).

  5. Testing Plan: A quick validation script to verify all tools work correctly.

Output everything in ready-to-use config files and code snippets.