MCP

This project has been deprecated and is no longer functional. Date: January 25, 2026 Reason: This project violated AllTrails' Terms of Service by scraping their website without authorization. At the request of AllTrails' CTO, all scraping functionality has been disabled. This repository is maintained for historical purposes only and to preserve GitHub stars, but the code no longer works and should

A Model Context Protocol (MCP) server that loads and serves multiple OpenAPI specifications to enable LLM-powered IDE integrations. This server acts as a bridge between your OpenAPI specifications and LLM-powered development tools like Cursor and other code editors. - Loads multiple OpenAPI specifications from a directory - Exposes API operations and schemas through MCP protocol - Enables LLMs to

A Model Context Protocol (MCP) server implementation that provides database interaction with Snowflake. This server enables running SQL queries via tools and exposes data insights and schema context as resources. - memo://insights A continuously updated memo aggregating discovered data insights. Updated automatically when new insights are appended via the appendinsight tool. - context://table/{tab

SmartBear MCP server A Model Context Protocol (MCP) server which provides AI assistants with seamless access to SmartBear's suite of testing and monitoring tools, including BearQ, BugSnag, Reflect, Swagger, PactFlow, Pact Broker, QMetry, QTM4J, Zephyr and Collaborator. The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to external data sources and t

This is a server that lets your LLMs (like Claude) talk directly to your BigQuery data! Think of it as a friendly translator that sits between your AI assistant and your database, making sure they can chat securely and efficiently. No more writing SQL queries by hand - just chat naturally with your data! This server uses the Model Context Protocol (MCP), which is like a universal translator for AI

A Model Context Protocol (MCP) server that provides Oracle Cloud Infrastructure pricing data to AI assistants like Claude. AWS, Azure, and GCP all have pricing MCP servers. OCI did not - until now. You ask Claude: Claude responds (using this MCP): You ask Claude: Claude responds (using this MCP): Available presets: - small-web-app - 1 OCPU, 8GB, 100GB storage, LB - medium-api-server - 4 OCPU, 32GB

This is a simple Model Context Protocol (MCP) server implementation for IP2Location.io API. It will return a detailed geolocation information for any given IPv4 or IPv6 address. - Comprehensive Geolocation Data: Retrieves a wide range of information, including country, region, city, latitude, longitude, ZIP code, time zone, and more. - Network Details: Provides network-related data such as ASN, IS

MCP (Model Context Protocol) server for GPTZero AI detection API. Detect AI-generated text directly from Claude, ChatGPT, or any LLM that supports MCP. If you find this MCP server useful, please consider supporting its development! 👉 Click here to support this project Your support helps maintain and improve this tool for everyone. Thank you! 🙏 - 🤖 Detect AI-generated text with confidence scores

The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data. See the full list of tools. Before setting up the MCP server, we recommend you read our security best practices to understand t

an mcp server for vikingdb store and search VikingDB is a high-performance vector database developed by ByteDance. You can easily use it following the doc bellow: The server implements the following tools: - vikingdb-colleciton-intro: introduce the collection of vikingdb - vikingdb-index-intro: introduce the index of vikingdb - vikingdb-upsert-information: upsert information to vikingdb for later

✨ Features | 🚀 Getting Started | 🎥 Demos | ⚙️ Configuration | 🛠️ Tools | 🧑‍💻 Development A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift. - ✅ Configuration: - Automatically detect changes in the Kubernetes configuration and update the MCP server. - View and manage the current Kubernetes .kube/config or in-cluster

The MCP server calls the Shahnameh API behind the scenes, so you need to keep that running first. Please refer to the repository below for more information: Shahnameh API Also, please bear in mind that the API uses a database, which can be found here: Shahnameh Dataset Create and activate the virtual environment. For example, on macOS: Then run the inspector: این ریپازیتوری تنها یک بخش کوچک از پرو

This project is no longer needed. Ragie now supports MCP natively as a streamable HTTP server. See docs here: [https://docs.ragie.ai/docs/mcp-overview] If you would like users within your company to be able to access you knowledge base in applications like Claude or ChatGPT, you may need MCP Bridge A Model Context Protocol (MCP) server that provides access to Ragie's knowledge base retrieval capab

arvo-mcp is a Model Context Protocol (MCP) server that connects your AI assistant to Arvo, an AI-powered fitness coach. Access your workout history, personal records, body composition, and training plans directly from Claude Desktop, Cursor, or any MCP-compatible client. Perfect for fitness enthusiasts who want to: - 🏋️ Ask "What's my workout today?" and get your personalized training plan - 📊 T

A Model Context Protocol (MCP) server implementation that enables comprehensive configuration and management of Higress. This repository also provides an MCP client built on top of LangGraph and LangChain MCP Adapters, facilitating interaction with the Higress MCP Server through a well-designed agent flow architecture. Copy the .env.example file to .env and fill in the corresponding values. In std

Ditempa Bukan Diberi — Forged, Not Given [ΔΩΨ | ARIF] → QUICKSTART | → 7-Organ Canon | → 13 Floors Constitution | → npm @arifos/mcp In the 1970s, the internet had a routing problem: IP could deliver packets, but nothing guaranteed they would arrive in order, intact, or at all. The solution was TCP — a reliability layer that made the chaotic network trustworthy. AI agents have the same problem toda

An MCP (Model Context Protocol) server that provides unified access to multiple Large Language Model APIs for AI coding environments like Cursor and Claude Desktop. - 🌐 8 LLM Providers – ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, Mistral - 🎯 Smart Model Selection – Tag-based preferences (coding, business, reasoning, math, creative, general) - 📊 Prompt Logging – Track all prompts

A Model Context Protocol (MCP) server that extracts component information from Storybook design systems. Connects to Storybook instances and extracts HTML, styles, and component metadata. With self-signed certificate: Then configure in your MCP client (see Environment Variables). - Puppeteer: Uses headless Chrome for dynamic JavaScript component rendering - Chrome/Chromium: Required for Puppeteer

A Rust-based Model Context Protocol (MCP) server that exposes a V8 JavaScript runtime as a tool for AI agents like Claude and Cursor. Supports persistent heap snapshots via S3 or local filesystem, and is ready for integration with modern AI development environments. - V8 JavaScript Execution: Run arbitrary JavaScript code in a secure, isolated V8 engine. - TypeScript Support: Run TypeScript code d

kubectl-mcp-server Control your entire Kubernetes infrastructure through natural language conversations with AI. Talk to your clusters like you talk to a DevOps expert. Debug crashed pods, optimize costs, deploy applications, audit security, manage Helm charts, and visualize dashboards—all through natural language. - What Can You Do? - Why kubectl-mcp-server? - Live Demos - Installation - Quick St

Transform ideas into executable development plans — an MCP server that brings the ClaudeCode-DevPlanBuilder methodology to Claude Code. Or add to ~/.claude.json under the mcpServers key: If you already have DevPlan installed, remove from both scopes and re-add: That's it. DevPlan will guide Claude through the entire process. DevPlan uses a scaffold → enhance → validate workflow that ensures every

Welcome to the tradingview-mcp project! This application allows you to fetch TradingView chart snapshots quickly and securely using Python. Whether you're tracking market data or visualizing strategies, this tool is designed for you. Download tradingview-mcp Click the link above to download the latest version of the application. - Operating System: Windows, macOS, or Linux - Python Version: Python

The Terraform MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Terraform Registry APIs, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development. - Dual Transport Support: Both Stdio and StreamableHTTP transports with configurable endpoints - Terraform Registry Integration: Direct integration with public Terra

Manage MCP servers across 13 AI clients from one CLI. Define a server once. Enable it where you want. Keep unmanaged client entries intact. MCP servers are useful, but managing them across multiple AI clients is repetitive and error-prone: - different config locations - different formats (JSON, JSONC, TOML) - repeated env/header setup - easy to overwrite manual client entries - hard to roll back a