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.
1088 servers
A Model Context Protocol (MCP) server that acts as a secure bridge between your personal Google Workspace account (Gmail, Calendar, etc.) and any MCP-compatible AI client, such as Claude Desktop. Google Calendar: Effortlessly list and search for events on your primary calendar within a specific date range. Create new events with detailed information like title, description, start, and end times. U
A Model Context Protocol (MCP) server implementation that integrates with Olostep for web scraping, content extraction, and search capabilities. To set up Olostep MCP Server, you need to have an API key. You can get the API key by signing up on the Olostep website. - Scrape website content in HTML, Markdown, JSON or Plain Text (with optional parsers) - Parser-based web search with structured resul
This repository contains a MCP server that provides access to Milvus vector database functionality. Before using this MCP server, ensure you have: - Python 3.10 or higher - A running Milvus instance (local or remote) - uv installed (recommended for running the server) The recommended way to use this MCP server is to run it directly with uv without installation. This is how both Claude Desktop and
A simple Model Context Protocol (MCP) server that integrates with Notion's API to manage my personal todo list through Claude. This is a basic implementation tailored specifically for my minimalist todo list setup in Notion. This is a personal project designed for a very specific use case: my simple Notion todo list that has just three properties: - Task (title) - When (select with only two option
A Model Context Protocol (MCP) server that connects TestDino to AI agents. This server enables you to interact with your TestDino test data directly through natural language commands. This MCP server bridges the gap between your TestDino test management platform and AI agents. Instead of manually navigating the TestDino dashboard, you can ask your AI assistant to: - Check test run results - Analyz
OMOPHub MCP Server Medical vocabularies for AI agents. Search, map, and navigate 10M+ OMOP concepts: SNOMED CT, ICD-10, RxNorm, LOINC, and more. Directly from Claude, Cursor, VS Code, or any MCP-compatible client. Quick Start · Examples · Working with medical vocabularies today means downloading multi-gigabyte CSV files, loading them into a local database, and writing SQL to find what you need. Ev
A Model Context Protocol (MCP) server for bulk Spotify operations - batch playlist creation, library exports, and large-scale library management. What makes this different from other Spotify MCPs? - Confidence scoring - Batch searches return HIGH/MEDIUM/LOW confidence for each match - Human-in-the-loop - Uncertain matches are exported for review, then re-imported - Bulk operations - Handle 500+ so
The first general-purpose sentiment analysis tool for AI agents. KeyNeg MCP Server brings enterprise-grade sentiment analysis to Claude, ChatGPT, Gemini, and any AI assistant that supports the Model Context Protocol (MCP). - 95+ Sentiment Labels - Comprehensive negative sentiment taxonomy - Keyword Extraction - Identify specific complaints and issues - Batch Processing - Analyze multiple texts eff
BGG MCP: BoardGameGeek MCP Server BGG MCP provides access to the BoardGameGeek API through the Model Context Protocol, enabling retrieval and filtering of board game data, user collections, and profiles. The server is implemented in Go, using the GoGeek library, which helps ensure robust API interactions. Price data is provided by BoardGamePrices.co.uk, offering real-time pricing from multiple ret
An MCP server that brings your curated Obris knowledge into any AI conversation. Use the Chrome extension or upload directly to save knowledge to dedicated topics so you never start another AI chat from zero again. - List topics — Browse all your Obris topics to find the one you need - Pull in knowledge — Retrieve saved bookmarks, highlights, and notes as context for any conversation - Save knowle
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
A Model Context Protocol (MCP) server that interfaces with the AniList API, allowing LLM clients to access and interact with anime, manga, character, staff, and user data from AniList. - Search for anime, manga, characters, staff, and studios - Get detailed information about specific anime, manga, characters, and staff members - Access user profiles and lists - Support for advanced filtering optio
It is generated with Stainless. You can run the MCP Server directly via npx: There is a partial list of existing clients at modelcontextprotocol.io. If you already have a client, consult their documentation to install the MCP server. For clients with a configuration JSON, it might look something like this: You can run the package on the command line to discover and filter the set of tools that are
An MCP server focused only on Overleaf projects (via Overleaf Git sync). .env example: - OVERLEAFTOKEN is required. - projectid can be passed per tool call, or use default PROJECTID. - Overleaf Git access requires a plan that supports Git integration. Add to ~/.config/Claude/claudedesktopconfig.json: - Python 3.13+ - uv package manager MIT - See LICENSE
Node.js server implementing Model Context Protocol (MCP) for TaskWarrior operations. - View pending tasks - Filter tasks by project and tags - Add new tasks with descriptions, due dates, priorities, projects and tags - Mark tasks as complete Note: This runs your local task binary, so TaskWarrior needs to be installed and configured! - getnexttasks - Get a list of all pending tasks - Optional filte
A Model Context Protocol (MCP) server that integrates with Tilt to provide programmatic access to Tilt resources and logs through LLM applications. Imagine prompting like this: The key insight is you no longer need to tell your LLM how to build and deploy your code. Instead, you can simply ask it to what to build and deploy. Tilt is a powerful tool for working with Docker/Kubernetes workloads. Wit
Dependency intelligence infrastructure for AI assistants and agents working with JVM projects. Traditional upgrade workflow: 1. Google "Spring Boot 2.7 to 3.2 migration guide" (5 minutes) 2. Read 50-page migration docs, cross-reference breaking changes (15 minutes) 3. Check Maven Central for compatible dependency versions (5 minutes) 4. Update pom.xml, compile, fix breaking changes (30 minutes) 5.
Official MCP server for Flowbite to leverage AI for UI creation and theme generation An MCP server that enables AI assistants to access the Flowbite library of Tailwind CSS components—including UI elements, forms, typography, and plugins—while offering an intelligent theme generator for creating custom branded designs within AI-driven development environments. - 🎨 [NEW] Figma to code - Copy the F
A Model Control Protocol (MCP) server that integrates with Amazon Bedrock's Nova Canvas model for AI image generation. - High-quality image generation from text descriptions using Amazon's Nova Canvas model - Advanced control through negative prompts to refine image composition - Flexible configuration options for image dimensions and quality - Deterministic image generation with seed control - Ro
mcp-name: io.github.wmarceau/fitness-influencer AI-powered automation suite for fitness content creators. Automates video editing, graphics creation, email management, SMS communication, and revenue analytics. Production URL: https://fitness-influencer-production.up.railway.app (if deployed) When running the API server: Located at: .claude/skills/fitness-influencer-operations/SKILL.md Trigger phra
The Parallel Search MCP allows using Parallel Search API from within any MCP-compatible LLM client. It is meant for daily use for everyday smaller web-search tasks. Please read our MCP docs here for more details. The official installation instructions can be found here. Running locally This is a Search MCP proxy server (https://search-mcp.parallel.ai) that proxies /mcp to https://mcp.parallel.ai/v
A self-hosted investment decision engine built for modern AI agents. Multi-agent information isolation and cross-challenge protocol, providing an auditable decision trail (Audit Trail). Full Architecture Wiki · 中文版 OpenInvest is a self-hosted investment decision engine built for modern AI agents. It provides a verifiable investment committee, evidence-based reasoning, long-horizon backtest
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 integration that allows LLMs to interact with Raindrop.io bookmarks using the Model Context Protocol (MCP). - Create bookmarks - Search bookmarks - Filter by tags - Node.js 16 or higher - Raindrop.io account and API token To install Raindrop.io Integration for Claude Desktop automatically via Smithery: 1. Clone the repository: 2. Install dependencies: 3. Set up environment variables: - Create a