A type-safe solution that enables remote access to Model Context Protocol (MCP) services, allowing clients to connect to centralized MCP implementations without waiting for official remote support.
Enables deployment of MCP servers on Cloudflare Workers without authentication, allowing users to create custom tools and connect them to AI clients like Claude Desktop or Cloudflare AI Playground. Provides a template for building remote MCP servers that can be accessed via HTTP endpoints.
A deployable server that implements the Model Context Protocol on Cloudflare Workers, enabling AI tools to be accessed from clients like Claude Desktop and Cloudflare AI Playground.
Enables AI tools like Claude to interact with a remote machine's file system and shell via a secure HTTPS endpoint. It provides standardized tools for executing shell commands, reading and writing files, and navigating directories.
A template for deploying MCP servers on Cloudflare Workers without authentication. Provides a foundation for building custom MCP tools that can be accessed remotely from various MCP clients like Claude Desktop or the Cloudflare AI Playground.
A Model Context Protocol server that supports remote connections and authenticates users via GitHub OAuth, allowing them to access tools based on their GitHub identity.
Enables AI assistants to create professional YouTube videos using Remotion with a design-system-first approach. Provides 20+ video components, 7 themes, and animated elements optimized for engagement and retention.
renamify (Doc Spring)
@renamify/mcp-server
Smart, case-aware search \u0026 replace for codebases. Provides atomic renaming of symbols, files, and directories with full undo/redo. The MCP server lets AI assistants plan, preview, and apply rename operations safely, handling all naming conventions (snake_case, camelCase, PascalCase, etc.) automatically.
- 安装状态
- 已补齐
命令预览
npx -y @renamify/mcp-server [object Object]
Generate professional PDFs from Claude, Cursor, and other AI tools. Create invoices, contracts, reports, and certificates from templates or inline HTML markup.
Enables search and management of Renesas FSP documentation, code examples, API references, and dependencies for RA MCU development.
Enables intelligent property data analysis through the Rentcast API with optimized API call allocation. Provides comprehensive real estate market insights, property valuations, rental estimates, and listings data with built-in rate limiting and fallback mechanisms.
Enables AI-powered image generation using the Ideogram V3 Balanced model via Replicate. Supports text-to-image generation, inpainting, style transfer with 60+ presets, custom resolutions, and reproducible outputs with local image storage.
Provides a unified MCP interface for running completions, embeddings, image generation, and classification across OpenAI, Anthropic, Groq, and Mistral. Eliminates provider-specific boilerplate by standardizing API calls for text generation, vector embeddings, and classification tasks.
Provides access to the recraft-ai/recraft-v3 image generation model via Replicate, supporting high-quality image creation with granular style, size, and aspect ratio controls. It features synchronous and asynchronous generation workflows, local image downloads in WebP format, and comprehensive prediction tracking.
全面解析Repo Analyzer MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Repo Analyzer MCP能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
An MCP server that analyzes Git repositories and provides Dockerfile creation guidance, running locally using stdio transport.
Repository created using GitHub MCP tools
全面解析Repo Created Using MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Repo Created Using MCP Server能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
Analyze GitHub repositories into structured JSON with tech stack detection, dependency analysis, health signals, and security checks. No AI, fully deterministic. Available as CLI and MCP server.
MCP server for sharing source-backed engineering memory across AI coding clients like Cursor and VS Code.


