关键词 "js" 的搜索结果, 共 24 条, 只显示前 480 条
A Python CLI tool that generates a basic Node.js/TypeScript MCP server from an OpenAPI v3 spec (JSON/YAML), mapping each operation to an MCP tool.
MCP Server for Adobe After Effects. Enables remote control (compositions, text, shapes, solids, properties) via the Model Context Protocol using ExtendScript.
Learning AI
MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resources for client-side exploration.
An HTTP/SSE proxy server for Model Context Protocol (MCP) applications using stdio. Supports raw JSON-RPC commands via HTTP and implements direct stdio communication without an MCP SDK.
🚀 A conversational AI agent powered by Model Context Protocol (MCP), Express.js, and Gemini API that can automate Twitter (X) posts and perform dynamic interactions.
An Ai agentic tool that creates posts on x automatically using mcp servers.
fetch urls from webpage using playwright , sse mcp server & nodejs expressjs
This is a simple example server implementing a To-Do list CRUD API using the Model Context Protocol (MCP) concepts, specifically using JSON-RPC 2.0 over HTTP. It uses Node.js, Express, and PostgreSQL (via Docker) for persistence.
A Model Context Protocol (MCP) server that provides access to JSR (JavaScript Registry) module documentation.
基于nest快速开发sse mcp server
MCP server for Firecrawl Simple — a web scraping and site mapping tool enabling LLMs to access and process web content
An example Docker image for mcpo(with npm,curl,nodejs,uv Pre-Built;Pre-Built MCP:amap;baidumap;server-brave-search; tavily;fetch), a tool that exposes MCP (Model Context Protocol) servers as OpenAPI-compatible HTTP endpoints for OpenWebUI.
Experimental Authorize.net Node.js TypeScript MCP Server
This is just a private project, for your reference.
Node.js Model Context Protocol (MCP) server providing secure, relative filesystem access for AI agents like Cline/Claude.
Simple MCP server using Claude to interact with a local JSON server
An MCP server built with Node.js/TypeScript that allows AI agents to securely read PDF files (local or URL) and extract text, metadata, or page counts. Uses pdf-parse.
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