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.
957 servers
Generates customer-ready roadmap views and launch timelines from ProductPlan for Sales and Customer Success teams. Use when preparing for customer calls, sharing product direction, or answering "when will feature X ship?" questions.
This project implements a Model Context Protocol (MCP) server that acts as a bridge to interact with the Coda API. It allows an MCP client (like an AI assistant) to perform actions on Coda pages, such as listing, creating, reading, updating, duplicating, and renaming. The server exposes the following tools to the MCP client: - codalistdocuments: Lists all documents available to the user. - codalis
Scaffolds a new WebMCP tool component using useMcpTool with Zod schema, handler, annotations, and wires it into the WebMCPProvider tree. Use when the user wants to expose functionality as an MCP tool, make something callable by AI, add a new tool, or create an AI-accessible action.
An unofficial CellarTracker Remote MCP Server hosted on Cloudflare Workers. This will deploy your MCP server to a URL like: cellartracker. .workers.dev/mcp
Official ModelContextProtocol (MCP) server for Magic UI. - [x] cursor - [x] windsurf - [x] claude - [x] cline - [x] roo-cline Add to your IDE's MCP config: Once configured, you can questions like: The server provides the following tools callable via MCP: Some clients have a limit on the number of tools they can call. This is why we opted to group the tools into categories. Note: For more specific
Enabling web apps to provide JavaScript-based tools that can be accessed by AI agents and assistive technologies to create collaborative, human-in-the-loop workflows. > First published August 13, 2025 > > Brandon Walderman <brwalder@microsoft.com> > Leo Lee <leo.lee@microsoft.com> > Andrew Nolan <annolan@microsoft.com> > David Bokan <bokan@google.com> > Khushal Sagar <kh
A Model Context Protocol (MCP) server for LinkedIn. Search people, companies, and jobs, scrape profiles, and retrieve structured JSON data from any MCP-compatible AI client. Built with FastMCP, Patchright, and a clean hexagonal architecture. The getpersonprofile tool supports granular section scraping. Request only the sections you need: - Main profile (always included) — name, headline, location,
A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills engineering blog, making specialized skills available to any MCP-compatible AI application. An open-source
An open source MCP (Model Context Protocol) server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments. - Quick Start - Prerequisites - Installation - Usage Examples - Configuration - Available Tools - Architecture - How It Works - MCP Client Integration - Performance Considerations - Troubleshooting -
This server provides access to the Shopify Storefront API via MCP, allowing AI assistants to query and interact with your Shopify store data. - Access to product, collection, and inventory data - Cart creation and management - Support for GraphQL queries and mutations - Automatic token handling and validation - Easy integration with MCP-compatible AI assistants 1. Clone this repository 2. Install
This project uses the Model Context Protocol (MCP) to let LLMs directly understand and generate Max patches. Video link. Acknowledgement: the patch being explained is downloaded from here. Text comments in the original file are deleted. Check out the full video where you can listen to the synthesised sounds. The LLM agent has access to the official documentation of each object, as well as objects
Welcome to ntfy-mcp, the MCP server that keeps you caffeinated and informed! 🚀☕️ This handy little server integrates with the Model Context Protocol to send you delightful ntfy notifications whenever your AI assistant completes a task. Because let's face it - you deserve that tea break while your code writes itself. Choose your adventure: Manual Start: Cline Configuration: 1. Download the ntfy ap
This MCP (Model Context Protocol) server provides AIs with tools to interact with your OpsLevel account. Currently, the MCP server only uses read-only access to your OpsLevel account and can read data from the following resources: - Campaigns - Components - Component Dependencies (components that a component depends on) - Component Dependents (components that depend on a component) - Documentation
Alibaba Cloud Ops MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Alibaba Cloud APIs, enabling AI assistants to operate resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS, OSS, VPC, RDS and other widely used cloud products. It also enables AI assistants to analyze, build, and deploy applications to Alibaba Cloud ECS instances. Smithery AI FC-
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
An MCP server developed for AI to connect and manage Jupyter Notebooks in real-time Developed by Datalayer - Key Features - MCP Overview - Getting Started - Best Practices - Contributing - Resources - ⚡ Real-time control: Instantly view notebook changes as they happen. - 🔁 Smart execution: Automatically adjusts when a cell run fails thanks to cell output feedback. - 🧠 Context-aware: Understands
A Model Context Protocol (MCP) server and command-line interface for Apollo.io. This package provides: - MCP Server: Integrates Apollo.io with Claude Desktop for conversational access to B2B data - CLI Tool: Command-line interface for direct API access via terminal Both tools provide access to Apollo's comprehensive B2B database for people and company search, enrichment, and insights. - Apollo.io
✨ AI Game Developer — Unity MCP 中文 | 日本語 | Español Unity MCP is an AI-powered game development assistant for Editor & Runtime. Connect Claude, Cursor, & Windsurf to Unity via MCP. Automate workflows, generate code, and enable AI within your games. Unlike other tools, this plugin works inside your compiled game, allowing for real-time AI debugging and player-AI interaction. - ✔️ Runtime AI - Use LL
This MCP server provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown. Available on NPM - fetchhtml - Fetch a website and return the content as HTML - url (string, required): URL of the website to fetch - headers (object, optional): Custom headers to include in the request - maxlength (number, optional): Maximum length to fetch (default 5000
This project is a Model Context Protocol (MCP) server for interacting with the VRChat API. It allows you to retrieve various information from VRChat using a standardized protocol. The VRChat MCP server provides a way to access VRChat's API endpoints in a structured manner. It supports a wide range of functionalities, including user authentication, retrieving user and friend information, accessing
Openstack mcp server is a Model Context Protocol (MCP) server that provides an interface for AI assistants to interact with OpenStack services. - Table of Contents - Quick Start with Claude Desktop - Requirements - Using python - Using uvx - Contributing - MCP Protocol Support: Implements the Model Context Protocol for AI assistants. - Compute Tools: Manage OpenStack compute resources (servers, fl