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.
1076 servers
An MCP server that powers AI agents with indexed blockchain data from The Graph. Fetches the schema of a specified subgraph, providing AI agents with the context needed to generate GraphQL queries. Parameters: - subgraphId: The subgraph ID (e.g., "QmZBQcF...") - asText: Output format flag - true: Returns human-readable GraphQL schema - false: Returns JSON schema (default) Executes GraphQL queries
An MCP server for AI agents to explore DeFi yield opportunities, powered by DefiLlama. - Data Fetching Tool: The getyieldpools tool retrieves DeFi yield pool data from the DefiLlama, allowing filtering by chain (e.g., Ethereum, Solana) or project (e.g., Lido, Aave). - Analysis Prompt: The analyzeyields prompt generates tailored instructions for AI agents to analyze yield pool data, focusing on key
A production-grade YouTube Data MCP server engineered specifically for AI agents. Unlike standard API wrappers that flood your LLM with redundant data, this server strips away YouTube's heavy payload bloat. It is designed to save you massive amounts of context window tokens, protect your daily API quotas via caching, and run reliably without breaking your workflows. Most MCP servers are weekend pr
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,
Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT. The easiest way to get the same web browsing capabilities is to use mcp.apify.com with default settings. - ✅ No local setup required - ✅ Always up-to-date - ✅ Access to 6,000+ Apify Actors (including RAG Web Browse
Control your Reclaim.ai calendar, tasks, and habits from AI assistants via MCP. 40 tools across tasks, calendar, habits, focus time, and analytics. See docs/TOOLS.md for complete reference. Registries: PyPI · Smithery · Glama · GitHub · GitLab Limit exposed tools via RECLAIMTOOLPROFILE: Poetry (from source) Note: Use --directory flag instead of cwd – Claude Desktop doesn't respect cwd. Other MCP c
An MCP (Model Context Protocol) server that captures screenshots of web pages using Puppeteer. This server allows AI agents to visually verify web applications and see their progress when generating web apps. - Full page screenshots: Capture entire web pages or just the viewport - Element screenshots: Target specific elements using CSS selectors - Multiple formats: Support for PNG, JPEG, and WebP
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
A QR code generation MCP server implemented using FastMCP, supporting text-to-QR code conversion with base64 encoding output. - Support for any text to QR code conversion (including Chinese characters) - Customizable colors and styles - Base64 encoding - Support for STDIO, HTTP, and SSE transport modes - TRANSPORTMODE: Transport mode (sse, http, stdio), default: sse - HOST: Host address to bind, d
English | 日本語 A datetime formatting service implemented as an MCP server for the Claude Desktop Application. Supports generation of datetime strings in various formats. Before using mcp-datetime, ensure you have the following tools installed: - Python 3.12 or later - uv (Python package installer) - uvx (Python package runner) - ✨ Support for various datetime formats - 🇯🇵 Japanese language suppor
An open-source Model Context Protocol (MCP) server that connects AI agents to the Counsel API for strategic reasoning and multi-perspective analysis. - Hosted & Self-Hosted - Use the hosted server instantly or run your own instance - Strategic Reasoning - Access Counsel's debate and multi-perspective reasoning engines - Advisor Sessions - Run interactive intake and profile tuning sessions - Native
Enable MCP features for any Gin API with a line of code. Gin-MCP is an opinionated, zero-configuration library that automatically exposes your existing Gin endpoints as Model Context Protocol (MCP) tools, making them instantly usable by MCP-compatible clients like Cursor , Claude Desktop , Continue , Zed , and other MCP-enabled tools. Our philosophy is simple: minimal setup, maximum productivity .
This Model Context Protocol server implementation of Asana allows you to talk to Asana API from MCP Client such as Anthropic's Claude Desktop Application, and many more. More details on MCP here: - https://www.anthropic.com/news/model-context-protocol - https://modelcontextprotocol.io/introduction - https://github.com/modelcontextprotocol - ASANAACCESSTOKEN: (Required) Your Asana access token - RE
A community-driven contribution space where agents and the humans behind them share browser configs so every agent navigates the web faster and cheaper than the last. Every time an agent opens a browser, it starts from zero. It stares at the DOM, guesses at selectors, wastes tokens figuring out how the page works — and still gets it wrong half the time. This happens on every site, for every agent,
A Model Context Protocol (MCP) server for interacting with Anki flashcards via the AnkiConnect add-on. This server exposes AnkiConnect actions as MCP tools, organized into logical services. - Anki desktop application - AnkiConnect add-on installed and configured in Anki - Python 3.8+ - uv (for running and installing dependencies, optional but recommended) To run the MCP server: The server will sta
Official Macrocosmos Model Context Protocol (MCP) server that enables interaction with X (Twitter) and Reddit, powered by Data Universe (SN13) on Bittensor. This server allows MCP clients like Claude Desktop , Cursor , Windsurf , OpenAI Agents and others to fetch real-time social media data. 1. Get your API key from Macrocosmos. There is a free tier with $5 of credits to start. 2. Install uv (Pyth
Biel.ai MCP Server Connect your IDE to your product docs Give AI tools like Cursor, VS Code, and Claude Desktop access to your company's product knowledge through the Biel.ai platform. Biel.ai provides a hosted Retrieval-Augmented Generation (RAG) layer that makes your documentation searchable and useful to AI tools. This enables smarter completions, accurate technical answers, and context-aware s
A CLI inspector for the Model Context Protocol - Run MCP servers from various sources - List Tools, Resources, Prompts - Call Tools, Read Resources, Read Prompts - OAuth support for SSE and Streamable HTTP servers This will use the config file of Claude Desktop. The config file has the same format as the Claude Desktop config file. Run a specific tool, resource, or prompt without interactive promp
Multi-cloud pricing comparison MCP server for AWS, Azure, GCP, and OCI. Compare compute, storage, egress, and Kubernetes costs across all major cloud providers with a single query. - Comprehensive Coverage: 2,700+ instance types across all providers - AWS: 1,147 EC2 instances + 353 RDS database types + Lightsail - Azure: 1,199 VM types - GCP: 287 instance types across 40+ regions - OCI: 600+ produ
A comprehensive set of PDF manipulation tools built with the Model Context Protocol (MCP) framework. - Display: Render PDF pages as images - Merge: Combine multiple pages into a single long page - Metadata: Extract document metadata - Text: Extract text blocks and detailed text information - Snippets: Create freeform or full-width snippets from PDF pages - Fuse: Combine pages from multiple documen
Give AI assistants the power to query your Prometheus metrics. A [Model Context Protocol][mcp] (MCP) server that provides access to your Prometheus metrics and queries through standardized MCP interfaces, allowing AI assistants to execute PromQL queries and analyze your metrics data. [mcp]: https://modelcontextprotocol.io - Prometheus server accessible from your environment - MCP-compatible client
You will need: - BOXUSERID and one of the following: - BOXJWTBASE64 (recommended) - BOXJWTCONFIGPATH Using a JWT Config allows persistent connection to Box. You will need a paid Box enterprise account, or you can sign up for a free developer account (make sure you are signed out of Box before clicking that link). Visit the Box Developer Console and create a new application. Make sure the authoriza
An MCP (Model Context Protocol) server for IPLocate.io - providing comprehensive IP address intelligence including geolocation, network information, privacy detection, and abuse contacts. This MCP server provides tools to look up detailed information about IP addresses: - Geolocation: Country, city, coordinates, timezone, postal code and more - Network Information: ASN name, number, type, network
This repository contains an MCP (Model Context Protocol) server (server.py) built using the fastmcp library. It interacts with the Kaggle API to provide tools for searching and downloading datasets, and a prompt for generating EDA notebooks. - server.py: The FastMCP server application. It defines resources, tools, and prompts for interacting with Kaggle. - .env.example: An example file for environ