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CodeRabbitDemo for mcps that follows anthropic documents here: https://modelcontextprotocol.io/docs/develop/build-server
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Demo for mcps that follows anthropic documents here: https://modelcontextprotocol.io/docs/develop/build-server
{"id":"5bbc3331-0956-4932-a1cd-df647e635a09","title":"Anthropic MCP Demo","description":"Anthropic MCP Demo provides a Model Context Protocol server that integrates AI coding assistants with Anthropic's Claude API, allowing developers to leverage Claude's advanced reasoning and code generation capabilities directly within their IDE. This server enables seamless interaction with large language models for tasks like code completion, debugging, refactoring, and general problem-solving, enhancing productivity by bringing powerful AI assistance into the development workflow.","dateModified":"2026-04-03","difficulty":"intermediate","tags":["anthropic","claude","llm-integration","api-proxy","mcp-server"],"tokenImpact":"Heavy — can trigger 7-day lockout on Pro tier, use with caution.","schemaDescription":"A Model Context Protocol server that bridges AI coding assistants with Anthropic's Claude API, providing direct access to advanced large language model capabilities for code generation, analysis, and problem-solving. Facilitates the integration of powerful AI assistance into development workflows through a standardized protocol.","author":"angryfoxx","authorGithub":"https://github.com/angryfoxx","license":"Unknown","transport":"stdio","language":"Python","useCases":["Generate code snippets and complete functions using Claude's capabilities.","Receive AI-driven suggestions for code refactoring and optimization.","Debug complex issues by querying Claude for potential solutions and explanations.","Translate code between different programming languages through natural language prompts.","Draft documentation and comments based on existing code with AI assistance."],"exampleCommand":"python main.py","mcpConfig":{"mcpServers":{"anthropic-claude":{"command":"python","args":["/path/to/anthropic-mcp-demo/main.py"],"env":{"ANTHROPIC_API_KEY":"YOUR_ANTHROPIC_API_KEY"}}}},"compatibility":["Google Antigravity IDE","Anthropic Claude API"],"copyButtonText":"Copy mcp_config.json","artifactsProduced":["Generated code","Refactoring suggestions","Debugging insights","Documentation drafts"],"faq":[{"question":"What can you do with Anthropic MCP Demo?","answer":"Anthropic MCP Demo connects AI coding assistants to Anthropic's Claude LLM, enabling developers to use Claude for a wide range of tasks, including code generation, refactoring suggestions, debugging assistance, and general programming problem-solving directly within their development environment."},{"question":"Which AI assistants and IDEs are compatible with Anthropic MCP Demo?","answer":"Anthropic MCP Demo is compatible with Google Antigravity IDE and any AI assistant or IDE that supports the Model Context Protocol, offering a flexible way to integrate Claude's capabilities into various development setups."},{"question":"How do I install and configure Anthropic MCP Demo?","answer":"1. Clone the repository: `git clone https://github.com/angryfoxx/anthropic-mcp-demo.git`. 2. Install dependencies: `pip install -r requirements.txt`. 3. Set your `ANTHROPIC_API_KEY` environment variable. 4. Run the server from the repository root: `python main.py`. 5. Configure your development environment to connect to this running MCP server."}]}🚀 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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