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.
1046 servers
MCP Server for the Giphy API, enabling AI models to search, retrieve, and utilize GIFs from Giphy. - Content Filtering: Filter results by rating (G, PG, PG-13, R) to ensure appropriate content - Optimized Response Format: Response data optimized for AI model consumption - Multiple Search Methods: Support for query-based, random, and trending GIF retrieval - Comprehensive Metadata: Each GIF comes w
This is an MCP server for Attio, the AI-native CRM. It allows mcp clients (like Claude) to connect to the Attio API. - [x] reading company records - [x] reading company notes - [x] writing company notes - [ ] other activities You will need: - ATTIOAPIKEY This is expected to be a bearer token which means you can get one through the API Explorer on the right hand side or configure OAuth and retrieve
Spotify MCP Server A lightweight Model Context Protocol (MCP) server that enables AI assistants like Cursor & Claude to control Spotify playback and manage playlists. - Example Interactions - Read Operations - Album Operations - Play / Create Operations - Prerequisites - Installation - Creating a Spotify Developer Application - Spotify API Configuration - Authentication Process - Integrating with
MCP server for Google Keep 1. Add the MCP server to your MCP servers: 2. Add your credentials: GOOGLEEMAIL: Your Google account email address GOOGLEMASTERTOKEN: Your Google account master token Check https://gkeepapi.readthedocs.io/en/latest/obtaining-a-master-token and https://github.com/simon-weber/gpsoauth?tab=readme-ov-filealternative-flow for more information. find: Search notes with optional
mcp-difyworkflow-server is an mcp server Tools application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify workflows. - "base-url":"http://localhost/v1" The base URL of the Dify platform api server url. - "command":"mcp-difyworkflow-server" You can specify the absolute path for the compiled binary, or create a symbolic link wit
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
A Model Context Protocol server for calculating. This server enables LLMs to use calculator for precise numerical calculations. - calculate - Calculates/evaluates the given expression. - expression (string, required): Expression to be calculated When using uv no specific installation is needed. We will use uvx to directly run mcp-server-calculator. Alternatively you can install mcp-server-calculat
Keep an eye on your API usage. Add the following to your Claude Desktop config file: macOS: ~/Library/Application Support/Claude/claudedesktopconfig.json Windows: %APPDATA%\Claude\claudedesktopconfig.json For local development, use the path to your local repository: - For security reasons, it's best to keep versions pinned and manually update them. All tools have been implemented and tested ✅ - ✅
Model Context Protocol (MCP) server integrating with the Miro platform. It enables AI assistants (like Claude) to access Miro boards and manage their content through a standardized interface. - Node.js v16 or newer installed - Miro account with API token 1. Go to the Miro Developer Portal 2. Create a new app or use an existing one 3. Make sure to create token with permission selected below 4. Gene
A Model Context Protocol (MCP) server implementation that enables AI assistants to search and reference Kibela content. This setup allows AI models like Claude to securely access information stored in Kibela. The mcp-kibela server provides the following features: - Note Search: Search Kibela notes by keywords - My Notes: Fetch your latest notes - Note Content: Get note content and comments by ID -
MCP server for interacting with RabbitMQ
Typst MCP Server is an MCP (Model Context Protocol) implementation that helps AI models interact with Typst, a markup-based typesetting system. The server provides tools for converting between LaTeX and Typst, validating Typst syntax, and generating images from Typst code. The server provides the following tools: 1. listdocschapters(): Lists all chapters in the Typst documentation. - Lets the LLM
A Model Context Protocol (MCP) server that enables LLMs to interact with Plane.so, allowing them to manage projects and issues through Plane's API. Using this server, LLMs like Claude can directly interact with your project management workflows while maintaining user control and security. - List all projects in your Plane workspace - Get detailed information about specific projects - Create new is
Time MCP Server A Model Context Protocol server that enables AI assistants to interact with time The Time MCP Server is a Model Context Protocol (MCP) server that provides AI assistants and other MCP clients with standardized tools to perform time and date-related operations. This server acts as a bridge between AI tools and a robust time-handling backend, allowing for complex time manipulations t
Talk to Jira This is a TypeScript-based MCP server that provides tools to interact with Jira. It demonstrates core MCP concepts by providing: - Tools for executing JQL queries - Tools for creating, editing, and deleting Jira tickets - Tools for listing Jira projects and statuses - Purpose: Run a JQL query. - Parameters: jql, numberofresults (default: 1). - Purpose: Fetch ticket name and descriptio
godoc-mcp is a Model Context Protocol (MCP) server that provides efficient access to Go documentation. It helps LLMs understand Go projects by providing direct access to package documentation without needing to read entire source files. godoc-mcp can vastly improve the performance of using LLMs to develop in Go by substantially reducing the number of tokens needed to understand and make use of Go
A Model Context Protocol (MCP) server that lets you seamlessly use OpenAI's models right from Claude. - Direct integration with OpenAI's chat models - Support for multiple models including: - gpt-4o-mini - o1-preview - Simple message passing interface - Basic error handling - Node.js >= 18 (includes npm and npx) - Claude Desktop app - OpenAI API key First, make sure you've got the Claude Desktop a
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
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.
A Model Context Protocol (MCP) server that provides access to Fantasy Premier League (FPL) data and tools. This server allows you to interact with FPL data in Claude for Desktop and other MCP-compatible clients. Demo of the Fantasy Premier League MCP Server in action - Claude Desktop - Other MCP Compatible Desktop LLMs Mobile is currently not supported. - Rich Player Data: Access comprehensive pla
mcp.apify.com The Apify Model Context Protocol (MCP) server at mcp.apify.com enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, and any other website using thousands of ready-made scrapers, crawlers, and automation tools from the Apify Store. It supports OAuth, allowing you to connect from clients like Claude.ai or Visual Studio Code using just the UR
Design system MCP server for creating high-performing LinkedIn content Quick Start • Installation • Documentation • A professional Model Context Protocol (MCP) server for LinkedIn content creation, featuring a shadcn-inspired component system, 10 performance-tuned themes, and data-driven optimization based on 1M+ post analysis. Built on ChukMCPServer — a modular, zero-configuration MCP server fram
A collection of AI agents for various tasks. Welcome to the agents repository! This project contains various AI agent definitions. The definitions can be used by any agentic system that supports markdown. An MCP (Model Context Protocol) server that delivers AI agent instructions on demand from this repository's collection of 42+ specialized agents. The server exposes 3 MCP tools: List all availabl
An unofficial CellarTracker Remote MCP Server hosted on Cloudflare Workers. This will deploy your MCP server to a URL like: cellartracker. .workers.dev/mcp