google_workspace_mcp
Control Gmail, Calendar, Docs, Sheets, Drive and more from AI — a full Google Workspace MCP server.
dbhubは、bytebaseが公開しているオープンソースのAIエージェントプロジェクトです(GitHub: bytebase/dbhub)。GitHubスターは3,618、フォークは316で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年10月2日です。
A token-conscious MCP server that connects AI tools to Postgres, MySQL, SQLite and more.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
PostgreSQL, MySQL, MariaDB, SQL Server, Oracle and SQLite through a single MCP interface — no separate server per database.
execute_sql, search_objects and opt-in explain_sql / health_check keep context use small.
Define reusable, parameterised SQL operations in dbhub.toml for your team.
Read-only mode, row limiting and query timeouts prevent runaway operations against production.
SSH tunneling and SSL/TLS encryption for reaching databases safely.
A web workbench for exploring and querying connected databases.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/bytebase/dbhub.git
cd dbhubPoint it at a database with a DSN — no install required.
npx @bytebase/dbhub@latest --transport http --port 8080 --dsn "postgres://user:password@localhost:5432/dbname?sslmode=disable"Register the same command (stdio transport) in your client's MCP config and restart the client, as the README shows.
npx @bytebase/dbhub@latest --transport stdio --dsn "postgres://user:password@localhost:5432/dbname" # see README for client configIt is maintained by bytebase on GitHub (bytebase/dbhub), where the source, issues and releases live.
Yes — it is free and open source under the MIT licence, which permits use, modification and redistribution, including commercially, with attribution.
No LLM key is needed by DBHub itself; your MCP client uses its own model, and your database credentials stay in your DSN/config.
Compared with per-database community MCP servers, dbhub's distinguishing focus is: a token-conscious MCP server that connects AI tools to Postgres, MySQL, SQLite and more. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/bytebase/dbhub (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
Control Gmail, Calendar, Docs, Sheets, Drive and more from AI — a full Google Workspace MCP server.
An MCP server that puts Hyperbrowser's browsers behind the protocol.
An Agent OS with interview-gated, budgeted evolution — one MCP server across 14 agent runtimes.
A local MCP server for serious arXiv work — LaTeX section reads, BibTeX and topic watches.
MCP server, CLI and skills for searching and downloading academic papers from arXiv, PubMed and 20+ sources
Shrimp Task Manager: an MCP server that turns natural language into structured, dependent dev tasks.
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — dbhubが合わなかった場合に検討したい、現実的な候補リストです。
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
カタログの中でdbhubとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
OpenClaw rebuilt in Go — multi-tenant AI agent teams with 5-layer security in a single binary.
A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等),7位分析师基于A股规则的辩论决策,基于TradingAgents深度改造,适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear deb…
Google's Python SDK for building AI agents on the Antigravity platform and Gemini models.
An open-source sandboxed agent harness for teams — a secured personal agent for every employee.
An open-source multimodal retrieval engine for agent pipelines.
A memory management kit for agents — remember me, refine me.