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CodeRabbitSkill + MCP server for recursive LLM reasoning. Load context, iterate with search/code/think tools, converge on answers.
"Automated summary for AI agents and search engines."
Skill + MCP server for recursive LLM reasoning. Load context, iterate with search/code/think tools, converge on answers.
{"id":"4679d12c-1ce6-467c-bc6e-24d1df502ce2","title":"Aleph","description":"Aleph provides a foundational, general-purpose Model Context Protocol server, enabling AI coding assistants to interact with a broad range of system functionalities and data sources through a unified interface. It simplifies the integration of various developer tools and APIs into AI-driven workflows, fostering a more connected and efficient development environment for complex tasks.","dateModified":"2026-04-03","difficulty":"intermediate","tags":["general-purpose","utility","python","mcp-server","automation"],"tokenImpact":"Moderate — 1,000–3,000 tokens per call, monitor quota during lockouts.","schemaDescription":"A general-purpose Model Context Protocol server written in Python, designed to integrate various system functionalities and data sources, allowing AI agents to perform diverse development operations through a standardized protocol.","author":"Hmbown","authorGithub":"https://github.com/Hmbown","license":"MIT License","transport":"stdio","language":"Python","useCases":["Integrate custom scripts and local utilities into AI-driven development workflows.","Provide a unified interface for AI agents to access diverse data sources.","Automate repetitive tasks by exposing system commands through the MCP.","Facilitate rapid prototyping and testing of new AI assistant capabilities."],"exampleCommand":"pip install aleph-mcp-server","mcpConfig":{"mcpServers":{"aleph":{"command":"python","args":["-m","aleph_mcp_server.server"],"env":{"API_KEY":"YOUR_ALEPH_API_KEY_HERE"}}}},"compatibility":["Google Antigravity IDE"],"copyButtonText":"Copy mcp_config.json","artifactsProduced":["System command output","Data query results","API responses"],"faq":[{"question":"What can you do with Aleph?","answer":"Aleph allows you to expose a wide array of system functionalities, local utilities, and data sources to AI coding assistants, enabling them to execute commands, query information, and automate complex tasks through a standardized Model Context Protocol interface. It acts as a versatile bridge between AI and your development environment."},{"question":"Which AI assistants and IDEs are compatible with Aleph?","answer":"Aleph is compatible with any AI assistant or IDE that supports the Model Context Protocol, including Google Antigravity IDE. Its Python-based stdio transport ensures broad compatibility with various development environments and AI agent platforms."},{"question":"How do I install and configure Aleph?","answer":"To install Aleph, run `pip install aleph-mcp-server` in your terminal. Configure it by adding an entry to your `mcp_config.json` file, specifying the `python -m aleph_mcp_server.server` command. You may need to provide API keys or configuration details via environment variables, depending on the specific functionalities you wish to expose."}]}🚀 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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