MCP (Model Context Protocol) servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol — so the agent can actually take action, not just write code.
1062 servers
An MCP server that gives Claude, Cursor, VS Code Copilot, and other AI assistants instant, offline access to TwitterAPI.io documentation. - 59 API endpoints with full HTTP method, body/query parameters, cURL examples, and response schemas - 32 guide pages covering pricing, authentication, rate limits, webhooks, streaming - 24 blog posts with tutorials and use cases - All v2 write endpoints documen
mcp-name: io.github.isdaniel/mcpweatherserver A Model Context Protocol (MCP) server that provides weather information using the Open-Meteo API. This server supports multiple transport modes: standard stdio, HTTP Server-Sent Events (SSE), and the new Streamable HTTP protocol for web-based integration. Get current weather information with comprehensive metrics: Temperature, humidity, dew point Wind
日本語版 README はこちら An MCP (Model Context Protocol) server that provides structured access to ISO 32000 (PDF) specification documents. Enables LLMs to navigate, search, and analyze PDF specifications through well-defined tools. - Multi-spec support — Auto-discovers and manages up to 17 PDF-related documents (ISO 32000-2, PDF/UA, Tagged PDF guides, etc.) - Structured content extraction — Headings, par
A powerful Model Context Protocol (MCP) server that provides AI-powered image and video analysis using Google Gemini and Vertex AI models. - Dual Provider Support: Choose between Google Gemini API and Vertex AI - Multimodal Analysis: Support for both image and video content analysis - Flexible File Handling: Upload via multiple methods (URLs, local files, base64) - Storage Integration: Built-in Go
A Model Context Protocol (MCP) server that provides seamless integration with Neovim instances, enabling AI assistants to interact with your editor through connections and access diagnostic information via structured resources. Supports both stdio and HTTP server transport modes for different integration - Multi-Connection Support: Manage multiple concurrent Neovim instances - LSP Integration: Com
An MCP (Model Context Protocol) server that enables AI platforms to interact with YepCode's infrastructure. Run LLM generated scripts and turn your YepCode processes into powerful tools that AI assistants can use directly. - Seamless AI Integration: Convert YepCode processes into AI-ready tools with zero configuration - Real-time Process Control: Enable direct interaction between AI systems and yo
A Model Context Protocol (MCP) server that helps read GitHub repository structure and important files. Inspired by gitingest. Using mcp-client-cli:
MCP Unity is an implementation of the Model Context Protocol for Unity Editor, allowing AI assistants to interact with your Unity projects. This package provides a bridge between Unity and a Node.js server that implements the MCP protocol, enabling AI agents like Cursor, Windsurf, Claude Code, Codex CLI, GitHub Copilot, and Google Antigravity to execute operations within the Unity Editor. MCP Unit
The Parallel Search MCP allows using Parallel Search API from within any MCP-compatible LLM client. It is meant for daily use for everyday smaller web-search tasks. Please read our MCP docs here for more details. The official installation instructions can be found here. Running locally This is a Search MCP proxy server (https://search-mcp.parallel.ai) that proxies /mcp to https://mcp.parallel.ai/v
Version: v0.2.0 An MCP server that provides access to the Postman API. Functionality is based on the official OpenAPI specification. For more information, see the Postman API documentation. This project is part of the Model Context Protocol (MCP) initiative from Anthropic. For more information, visit the MCP GitHub repository and the announcement on the Anthropic blog. Skip ahead to install instru
MCP Server for the Bitrise API, enabling app management, build operations, artifact management, and more. - Comprehensive API Access: Access to Bitrise APIs including apps, builds, artifacts, and more. - Authentication Support: Secure API token-based access to Bitrise resources. - Detailed Documentation: Well-documented tools with parameter descriptions. - VS Code - Installation for VS Code IDE -
Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more. This implements the Model Context Protocol Server. Learn more: https://modelcontextprotocol.io This is a TypeScript-based MCP server that implements an implementation into any OpenAI SDK Compatible Chat Completions API. It has one tool, chat which relays a question to a config
Slack MCP Server Give Claude the same Slack access you have. DMs, threads, history—no admin approval. I built this because I was working with someone to help me manage a complex workload, and we kept hitting walls. They needed context from my messages—"what did X say about Y?"—but Slack's API blocks access to DMs without admin approval. Screenshotting messages is not a workflow. This server bridge
Read the introduction here llmindset.co.uk/resources/mcp-hfspace/ Connect to Hugging Face Spaces with minimal setup needed - simply add your spaces and go! By default, it connects to black-forest-labs/FLUX.1-schnell providing Image Generation capabilities to Claude Desktop. NPM Package is @llmindset/mcp-hfspace. Install a recent version of NodeJS for your platform, then add the following to the mc
An MCP (Model Context Protocol) server that exposes a collection of system prompts, summaries, and tool definitions from popular AI tools as MCP tools for AI coding environments like Cursor and Claude Desktop. - 🔍 Automatic Discovery – Every prompt in prompts/ is automatically exposed as an MCP tool - 🎯 Model-Aware Suggestions – Get prompt recommendations based on your LLM (Claude, GPT, Gemini,
Baseline MCP Server 日本語版 | English Version Web Platform APIのサポート状況を提供するModel Context Protocolサーバーです。 このサーバーは、Web Platform DashboardのAPIを使用して、WebのAPI機能のBaselineステータス（サポート状況）を取得できるMCPサーバーを実装しています。クエリに基づいてWeb機能の情報を取得し、その結果をMCPクライアントに返します。 - Web Platform DashboardのAPIを使用した機能検索 - 機能のBaselineステータス（widely、newly、limited、nodata）の提供 - ブラウザ実装状況（バージョンと実装日）の提供 - 機能の使用状況データの提供 - 特定のブラウザを除外した機能検索（chrome, edge, f
This repository contains a Binary Ninja plugin, MCP server, and bridge that enables seamless integration of Binary Ninja's capabilities with your favorite LLM client. - Seamless, real-time integration between Binary Ninja and MCP clients - Enhanced reverse engineering workflow with AI assistance - Support for every MCP client (Cline, Claude desktop, Roo Code, etc.) - Open multiple binaries and swi
This project is a MCP server for automating and managing interactions on a Facebook Page using the Facebook Graph API. It exposes tools to create posts, moderate comments, fetch post insights, and filter negative feedback — ready to plug into Claude, or other LLM-based agents. This MCP provides a suite of AI-callable tools that connect directly to a Facebook Page, abstracting common API operations
It is generated with Stainless. You can run the MCP Server directly via npx: There is a partial list of existing clients at modelcontextprotocol.io. If you already have a client, consult their documentation to install the MCP server. For clients with a configuration JSON, it might look something like this: You can run the package on the command line to discover and filter the set of tools that are
An MCP server that provides AI agents with real-time access to curated Web3 jobs from web3.career, enabling intelligent job discovery and career insights. - Job Query Tool: Filter Web3 jobs by: - Remote status (remote=True for remote-only jobs) - Country (e.g., "United States", case-insensitive) - Job tag (e.g., "react", "blockchain", case-insensitive) - Limit (1–100 jobs, default 50) - Markdown O
Cal Server 是一个基于 FastMCP 框架构建的简单数学表达式计算服务，使用 Bun 运行时环境。它利用 expr-eval 库解析和计算用户输入的数学表达式，并通过标准输入输出（stdio）与外界交互。该项目旨在提供一个轻量、高效的计算工具，支持基本数学运算和内置常量。 - 表达式计算：支持用户输入数学表达式并返回计算结果。 - E：Bun 环境中的 Math.E。 - PI：Bun 环境中的 Math.PI。 - true：逻辑真值。 - false：逻辑假值。 - 工具名称：cal。 - 参数：接受一个字符串类型的数学表达式（exp）。 - fastmcp：用于构建 MCP 服务。 - expr-eval：用于解析和计算数学表达式。 - zod：用于参数验证。 - 确保已安装 Bun 运行时（推荐最新版本）。 To install cal-mcp for Claude D
Regulatory compliance for AI-powered development tools — classify AI systems, check obligations, and get article-level citations across 240+ articles and 3 major regulations. Full Documentation · Get API Key · API Reference Gibs MCP Server connects your AI development environment directly to a regulatory compliance knowledge base. Currently covering: Every response includes article-level citations
Self Maintaining Docs for Devs & AI — Turn your codebase into always-current documentation, so engineers and AI never read outdated docs again. This repository is the entry point for using Sequa via the Model Context Protocol (MCP). Add Sequa as an MCP server to Cursor, Claude, Windsurf, VSCode, Cline, Highlight, Augment, or any other MCP‑capable client. 70% of docs are never updated as underlying
Build the server: Run the test client Insert an object into weaviate. Request body: Response body Retrieve objects from weaviate with hybrid search. Request body: Response body