🗄️ 数据库工具 — Top 10 AI Agent 工具
用自然语言查数据库，再也不用手写 SQL。支持 PostgreSQL、MySQL、SQLite、MongoDB 等，帮你做数据探索、生成报表、管理迁移，把 DBA 的活外包给 AI。
共收录 442 个工具 · 显示评分最高 10 个
mindsdb/minds
精选MakefileDelegate anything. It comes back done.
DeusData/codebase-memory-mcp
精选CHigh-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary
airbytehq/airbyte
精选PythonOpen-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
- **Giving AI agents, LLMs, or MCP clients real-time access to business data** (CRMs, support tools, SaaS APIs, databases) → use [Airbyte Agents](https://docs.airbyte.com/ai-agents/), the managed daCanner/WrenAI
精选PythonGenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data s
googleapis/mcp-toolbox
精选GoMCP Toolbox for Databases is an open source MCP server for databases.
googleapis/genai-toolbox
精选GoMCP Toolbox for Databases is an open source MCP server for databases.
t8y2/dbx
精选Rust20 MB lightweight cross-platform database client for 70+ databases, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, SQL Server, and Dameng. Built-in AI, MCP Server, CLI, desktop and Docke
builderz-labs/mission-control
精选TypeScriptSelf-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.
docker pull ghcr.io/builderz-labs/mission-control:latestSolaceLabs/solace-agent-mesh
精选PythonAn event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-s
prest/prest
精选GoPostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new, MCP server
💡 如何选择合适的 数据库工具 工具？
评分是怎么算的？+
Trove 的评分包含 4 个维度：文档质量（Doc）、代码质量（Code）、社区活跃度（Community）和近期更新（Activity），总分 25 分，并划分为精选（≥20）、已验证（≥12.5）、社区（<12.5）三档。
如何选择适合自己的工具？+
先看 tier（精选/已验证优先），再看 stars 和近期更新时间，最后看 install_hint 确认安装方式是否符合你的环境（npm/pip/go 等）。
这些工具支持哪些 AI 平台？+
大多数工具以 MCP 协议为标准，兼容 Claude、OpenClaw、Codex、Cursor 等主流 AI 平台。部分工具还提供 OpenAI Function / LangChain Tool 格式。
如何把自己的工具上榜？+
在 GitHub 发布你的工具，带上相关 topic（如 mcp-server、ai-agent-skills），Trove 的爬虫会自动收录并评分。也可以到 opentrove.ai/publish 主动提交。