ИИ-агенты
brightdata-mcp
Bright Data's MCP server: web search, scraping, structured data and browser automation for agents (75 tools)
★ 2,7 тыс. звёздMIT
Смотреть руководство →mcp-toolbox — проект с открытым исходным кодом из категории «ИИ-агенты» от googleapis (googleapis/mcp-toolbox на GitHub). У него 16 624 звезды на GitHub и 1 753 форка, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 8 октября 2026.
Google's MCP Toolbox for Databases - give agents safe, structured access to your data
Choose the database your agent needs - prebuilt configs cover Google Cloud and popular open-source databases.
Download the binary for your OS, use the container image, or run it through npx.
Use a prebuilt toolset with environment variables, or write a tools.yaml defining sources, tools and toolsets.
Point Claude, an IDE or your app (via the Toolbox SDKs) at the server and run your first query tool.
Instant standard tools for many databases via the --prebuilt flag, down to per-toolset granularity.
Define your own SQL tools, sources, toolsets, prompts and resources in a configuration file.
Google Cloud databases plus PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, ClickHouse, Oracle, TiDB and others per the topic list.
Run a downloaded binary, a container image, or npx @toolbox-sdk/server.
Connect any MCP client, or embed Toolbox in your application with the Toolbox SDKs.
The server can run with a UI flag for interactive exploration of your tools.
Get the source code from GitHub and enter the project directory.
git clone https://github.com/googleapis/mcp-toolbox.git
cd mcp-toolboxStart the server against your tools.yaml (binary or npx route).
npx @toolbox-sdk/server --config tools.yaml
# or with the binary: ./toolbox --config "tools.yaml"Point Toolbox at a supported database with the prebuilt flag and the documented environment variables.
# toolbox --prebuilt=postgres/data - see README Prebuilt Tools Reference for env varsIt is maintained by Google (googleapis) on GitHub.
Yes - MCP Toolbox is Apache-2.0 licensed and free to use.
Toolbox itself needs no key; you provide your database's own credentials/connection settings, and cloud databases use their normal IAM or service-account auth.
Compared with hand-writing an MCP server per database, Toolbox gives you prebuilt, maintained toolsets and a config-driven custom-tool system from Google's team.
Download the binary or use npx, run it with --prebuilt for your database or a tools.yaml, and connect your MCP client.
Bright Data's MCP server: web search, scraping, structured data and browser automation for agents (75 tools)
An enterprise MCP gateway: governed, auditable tool access for agents.
An open-source auth gateway connecting 1,500+ SaaS providers to AI agents via SDK, CLI, MCP and HTTP.
Control Gmail, Calendar, Docs, Sheets, Drive and more from AI — a full Google Workspace MCP server.
Shrimp Task Manager: an MCP server that turns natural language into structured, dependent dev tasks.
A markdown knowledge graph with LSP for editors and MCP for agents.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если mcp-toolbox вам не подходит.
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.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к mcp-toolbox — продолжайте изучать полку по обе стороны от него.
Vector search plus structured filtering in one database.
AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code /…
A CLI that writes and maintains agent-ready docs for your codebase.
A serverless, single-file memory layer for AI agents - replace complex RAG pipelines
Agent-native memory infrastructure - structured, persistent memory for production agents
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic syst…
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.