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CodeRabbitMCP server and CLI tool for searching and downloading documents from Anna's Archive
"Automated summary for AI agents and search engines."
MCP server and CLI tool for searching and downloading documents from Anna's Archive
{"id":"843ee5d1-bd5b-4fdb-bb4e-c85821df00f3","title":"Annas MCP","description":"Annas MCP provides a Model Context Protocol server for integrating AI coding assistants with specific internal or custom tools, enabling tailored automated workflows for unique development environments. This server acts as a flexible bridge, allowing AI agents to interact with non-standard APIs, legacy systems, or specialized data sources, providing a custom solution for complex automation challenges within a developer's existing toolkit.","dateModified":"2026-04-03","difficulty":"intermediate","tags":["custom-tools","internal-apis","automation","mcp-server","python"],"tokenImpact":"Moderate — 1,000–3,000 tokens per call, monitor quota during lockouts.","schemaDescription":"A Model Context Protocol server designed for custom integrations, allowing AI coding assistants to interface with proprietary APIs, specialized data sources, and internal tools. Offers a flexible framework for extending AI automation capabilities to unique or legacy development environments and workflows.","author":"iosifache","authorGithub":"https://github.com/iosifache","license":"Unknown","transport":"stdio","language":"Python","useCases":["Connect AI agents to specific, non-public internal APIs for automated tasks.","Integrate legacy systems into modern AI-driven development workflows.","Automate interactions with specialized development tools not commonly supported.","Process and transform data from custom sources using AI assistants.","Extend the capabilities of AI agents to unique, self-hosted services."],"exampleCommand":"python server.py","mcpConfig":{"mcpServers":{"annas":{"command":"python","args":["/path/to/annas-mcp/server.py"],"env":{}}}},"compatibility":["Google Antigravity IDE"],"copyButtonText":"Copy mcp_config.json","artifactsProduced":["Custom tool outputs","API responses","Transformed data","Logs from integrated systems"],"faq":[{"question":"What can you do with Annas MCP?","answer":"Annas MCP enables AI coding assistants to connect with custom internal tools, proprietary APIs, and unique data sources. This allows for tailored automation of specific development tasks that involve non-standard systems, extending AI capabilities to specialized workflows."},{"question":"Which AI assistants and IDEs are compatible with Annas MCP?","answer":"Annas MCP is compatible with Google Antigravity IDE and any other AI assistant or IDE that supports the Model Context Protocol, offering a flexible solution for custom integrations within various development environments."},{"question":"How do I install and configure Annas MCP?","answer":"1. Clone the repository and install Python dependencies (e.g., `pip install -r requirements.txt`). 2. Run the server using `python server.py` from the repository root. 3. Configure your development environment's MCP settings to include the server, providing any necessary custom parameters or API keys."}]}🚀 The fast, Pythonic way to build MCP servers and clients.
MCP web search using perplexity without any API KEYS
一个基于 MCP (Model Context Protocol) 的邮件服务，支持 LLM 发送带附件的电子邮件及在指定目录中搜索文件。提供安全的 SMTP 传输、多收件人支持和附件模式匹配搜索功能，适用于 Gmail、Outlook、Yahoo、QQ 邮箱和网易 126 邮箱等主流邮箱服务。
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