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.
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Finally, MCP servers & commands that just work on Windows. Every MCP server README assumes macOS or Linux. You copy the config, paste it in, and nothing happens — because npx, uvx, and friends are .cmd batch shims on Windows, not real executables. mcp2win fixes this by wrapping commands with cmd.exe /c so your MCP servers actually start. Works with Claude Code/Desktop, VS Code, Cursor, Zed, Amazon
English Documentation 这是一个支持远程连接的模型上下文协议 (MCP) 服务器，内置了飞书 OAuth 认证。 本项目修改自 cloudflare/ai/demos/remote-mcp-github-oauth，将 GitHub OAuth 替换为飞书 OAuth。 您可以将其部署到自己的 Cloudflare 账户，并在创建自己的飞书 OAuth 客户端应用后，拥有一个功能完整的远程 MCP 服务器。用户可以通过飞书账号登录连接到您的 MCP 服务器。 - 与飞书官方 MCP Server 的区别 - 使用 Inspector 测试 - 使用 Cursor - 使用 ChatWise 虽然飞书官方也推出了 MCP Server，但本项目在以下几个方面具有显著优势： - 本项目：用户无需手动配置任何参数，全程使用 useraccesstoken，过期自动刷新 - 官
Every multi-step tool workflow burns an LLM round-trip per step. The agent calls tool A, waits, sends the full context back to the model, gets a decision to call tool B, calls it, sends everything back again. Each round-trip re-transmits 2K–10K tokens on what is essentially plumbing. For a session with 20 two-step workflows, that's 20 wasted model calls, ~100K wasted tokens, and 20–40 seconds of a
A Model Context Protocol server that creates travel agent-level flight plans using the fast-flights API. - Search for one-way and round-trip flights - Create comprehensive travel plans based on trip parameters - Get airport code information - Use templates for common travel queries 1. Make sure you have Python 3.10 or higher installed 2. Install the required packages: You can run the server direct
A local MCP server to communicate local Pharo Smalltalk image. It supports: - Code Evaluation: Execute Smalltalk expressions and return results - Code Introspection: Retrieve source code, comments, and metadata for classes and methods - Search & Discovery: Find classes, traits, methods, references, and implementors - Package Management: Export and import packages in Tonel format - Project Installa
This server is a server that installs other MCP servers for you. Install it, and you can ask Claude to install MCP servers hosted in npm or PyPi for you. Requires npx and uv to be installed for node and Python servers respectively. Put this into your claudedesktopconfig.json (either at ~/Library/Application Support/Claude on macOS or C:\Users\NAME\AppData\Roaming\Claude on Windows):
MCP Server for the Notion API, enabling LLM to interact with Notion workspaces. Additionally, it employs Markdown conversion to reduce context size when communicating with LLMs, optimizing token usage and making interactions more efficient. Here is a detailed explanation of the steps mentioned above in the following articles: - English Version: https://dev.to/suekou/operating-notion-via-claude-des
MCP Official Registry A Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction. This server enables searching documents, analyzing indices, and managing cluster through a set of tools. - generalapirequest: Perform a general HTTP API request. Use this tool for any Elasticsearch/OpenSearch API that does not have a dedicated tool. - listindices: List
A remote MCP server that lets Claude plan, edit, and save your trips to Triplyfy. A simple trip‑planning app to create and share itineraries. View is public by link, editing requires Google sign‑in. Drag‑and‑drop places and notes across days, see everything on a map, and add flights. Open Claude Desktop → Settings → Developer → MCP Servers → Add server - Name: Triplyfy - MCP SSE endpoint: https://
A Model Context Protocol (MCP) server implementation that provides the LLM an interface for visualizing data using Vega-Lite syntax. The server offers two core tools: - Save a table of data agregations to the server for later visualization - name (string): Name of the data table to be saved - data (array): Array of objects representing the data table - Returns: success message - visualizedata - Vi
Allow Claude to create flashcards for you with the official Model Context Protocol (MCP) for Rember. Rember helps you study and remember anything you care about by scheduling spaced repetition reviews. Features and examples: - Create flashcards from your chats "... I like your answer, help me remember it" - Create flashcards from your PDFs "Create flashcards from chapter 2 of this PDF" To run the
A Model Context Protocol (MCP) server implementation for Azure Data Lake Storage Gen2. This service provides a standardized interface for interacting with ADLS2 storage, enabling file operations through MCP tools. Requires Python 3.13 or higher. Install the package using uv: 1 - Edit Claude Desktop Configuration: Open claudedesktopconfig.json and add the following configuration. On MacOs, the file
A Model Context Protocol (MCP) server that provides gene set enrichment analysis using the Enrichr API. This server supports all available gene set libraries from Enrichr and returns only statistically significant results (corrected-$p$ File -> Settings and drag and drop the downloaded file into the Settings window. Use the button below to install the MCP server to Cursor, VS Code, or VS Code Insi
A powerful and efficient Blockchain address risk scoring API MCP Server, leveraging the BICScan API to provide comprehensive risk assessments and asset information for blockchain addresses, domains, and decentralized applications (dApps). - Risk Scoring: Obtain risk scores for various blockchain entities, including crypto addresses, domain names, and decentralized application URLs, with scores ran
MCP (Model Context Protocol) server for domain and URL security analysis powered by GridinSoft Inspector. This MCP server allows your AI agent (Claude, Cursor, etc.) to verify any website or link. It helps answer the critical question: "Can I trust this site?" - Domain Reputation - Check if a site is well-known, safe, or suspicious. - Phishing Detection - Identify fraudulent pages designed to stea
This is a simple example of how to use a Fireproof database in a Model Context Protocol server (used for plugging code and data into A.I. systems such as Claude Desktop). This demo server implements a basic JSON document store with CRUD operations (Create, Read, Update, Delete) and the ability to query documents sorted by any field. Install dependencies: To use with Claude Desktop, add the server
A Cli, a webUI, and a MCP server for the Z-Image-Turbo text-to-image generation model (Tongyi-MAI/Z-Image-Turbo and its variants). This tool is designed to run efficiently on local machines for Windows/Mac/Linux users. It features specific optimizations for NVIDIA (CUDA), AMD on Linux (ROCm), Intel (XPU), and Apple Silicon (MPS), falling back to CPU if no compatible GPU is detected. Hybrid Interfa
Your AI Assistant in Memory Forensics Volatility MCP seamlessly integrates Volatility 3's powerful memory analysis with FastAPI and the Model Context Protocol (MCP). Experience memory forensics without barriers as plugins like pslist and netscan become accessible through clean REST APIs, connecting memory artifacts directly to AI assistants and web applications Volatility 3 Integration: Leverages
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
Persistent project intelligence that converts conversation into structured decisions, constraints, and artifacts. A builder talks. The product thinks. The system evolves. Every conversational turn flows through a pipeline: 1. Classify — Is this a decision, constraint, rejection, exploration, goal, correction, or noise? 2. Extract — Pull structured data: statement, rationale, category, certainty, a
This MCP server allows you to access OpenAI's ChatGPT API directly from Claude Desktop. 📝 Read about why I built this project: I Built an AI That Talks to Other AIs: Demystifying the MCP Hype - Call the ChatGPT API with customisable parameters - Aks Claude and ChatGPT to talk to each other in a long running discussion! - Configure model versions, temperature, and other parameters - Use web search
Read and write to a Pinecone index. The server implements the ability to read and write to a Pinecone index. - semantic-search: Search for records in the Pinecone index. - read-document: Read a document from the Pinecone index. - list-documents: List all documents in the Pinecone index. - pinecone-stats: Get stats about the Pinecone index, including the number of records, dimensions, and namespace
A Model Context Protocol (MCP) server that provides search and crawl functionality using Search1API. - Node.js >= 18.0.0 - A valid Search1API API key (See Setup Guide below on how to obtain and configure) 1. Clone the repository: 2. Configure API Key: Before building, you need to provide your Search1API key. See the Setup Guide section below for different methods (e.g., using a .env file or enviro
Firebase MCP enables AI assistants to work directly with Firebase services, including: - Firestore: Document database operations - Storage: File management with robust upload capabilities - Authentication: User management and verification The server works with MCP client applicatios such as Claude Desktop, Augment Code, VS Code, and Cursor. - Firebase project with service account credentials - Nod