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
Record, replay, and verify Model Context Protocol interactions for deterministic testing. MCP servers break silently. Tool schemas change, prompts drift, responses shift. Without wire-level regression tests, you find out from your users. mcp-recorder captures the full protocol exchange into a cassette file and lets you test from both sides. Try it right now — a scenarios.yml and a public demo serv
A Model Context Protocol (MCP) server providing geospatial tools for AI agents. Enables Claude, GPT, and other LLMs to perform geocoding, routing, spatial analysis, and file operations. - Geocoding: Convert addresses to coordinates and vice versa (via Nominatim/OSM or Pelias) - Batch Geocoding: Geocode multiple addresses in a single request (up to 10) - Elevation Data: Get altitude for points and
A full-featured Model Context Protocol (MCP) server that provides seamless access to CustomGPT.ai APIs. Interact with your CustomGPT agents directly through Claude Code, Claude Web, and any MCP-compatible client. - List Agents: Browse all your CustomGPT agents with pagination - Get Agent Details: Retrieve detailed information about specific agents - Create Agents: Create new agents from sitemaps o
A Model Context Protocol (MCP) server that provides seamless integration with Weblate translation management platform. This server enables AI assistants to interact directly with your Weblate instance for comprehensive translation management. - 🔧 Complete Weblate API Access: Full integration with Weblate's REST API - 🤖 AI-Powered Workflow: Natural language interaction with your translation proje
A Model Context Protocol (MCP) server that queries multiple Ollama models and combines their responses, providing diverse AI perspectives on a single question. This creates a "council of advisors" approach where Claude can synthesize multiple viewpoints alongside its own to provide more comprehensive answers. - Query multiple Ollama models with a single question - Assign different roles/personas t
An enterprise-grade MCP (Model Context Protocol) server for Jenkins CI/CD integration with advanced features including multi-tier caching, pipeline monitoring, artifact management, and batch operations. - Job Management: Trigger, list, search, and monitor Jenkins jobs with folder support - Build Status: Real-time build status tracking and console log streaming - Pipeline Support: Stage-by-stage pi
A Model Context Protocol (MCP) server that provides on-demand access to DexPaprika's cryptocurrency and DEX data API. Built specifically for AI assistants like Claude to programmatically fetch real-time token, pool, and DEX data with zero configuration. DexPaprika MCP connects Claude to live DEX data across multiple blockchains. No API keys required. Installation | Configuration | API Reference Ne
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 Model Context Protocol (MCP) server that enables AI assistants and agents (Claude, Cursor, Copilot, etc.) to search package registries and retrieve up-to-date package information. Alternatively, in Cursor, you can configure MCP servers in your settings: 1. Open Cursor Settings (Cmd/Ctrl + ,) 2. Search for "MCP" or go to Extensions > MCP 3. Add a new server with: - Name: package-registry - Comman
Kash MCP Server is a server compliant with the MCP (Model Context Protocol), allowing ChatGPT, Claude, and other MCP-compatible clients to connect to a sales recorder system (or POS, cash register). It provides a simple interface to: - 📊 View sales and revenue - 🧾 Create and record receipts - 🛒 Manage products and stock - 🧠 Generate automated reports through conversational requests Connect you
This repository is deprecated and no longer maintained. New implementation: Tinybird MCP Server Please migrate to the official implementation.
MCP Server - Bridge to OpenAI API. Part of the HumoticaOS / SymbAIon ecosystem. Add to your claudedesktopconfig.json: - Connect MCP clients to OpenAI API - Support for GPT-4, GPT-3.5, and other models - Streaming responses - Simple configuration - Jasper van de Meent (@jaspertvdm) - Root AI (Claude) - rootai@humotica.nl One Love, One fAmIly! This package is officially distributed via: - PyPI: http
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
mcp-name: io.github.wmarceau/rideshare-comparison Compare Uber and Lyft prices for any route using Claude Desktop. Add to your claudedesktopconfig.json: Compare Uber and Lyft prices for a specific route. Example prompt: "Compare Uber and Lyft prices from SFO airport to downtown San Francisco" Get a list of cities with rideshare pricing data. Example prompt: "Which cities are supported for rideshar
Local-first MCP runtime for multi-agent consensus guard workflows — AI code review, weighted voting, HITL approval gates, and full observability on SQLite. MCP stdio mode (Claude Desktop, OpenClaw, etc.): Prerequisites: Node.js 20+, npm 10+. Optional: gh CLI (for GitHub PR triggers), OpenAI API key (falls back to deterministic heuristics without one). Any model accessible via the OpenAI or Anthrop
This package wraps the dAWShund project in two different servers so you can enumerate AWS IAM data, evaluate effective permissions and obtain a high‑level summary without having to remember a handful of separate scripts. The upstream project describes itself as a way to “put a leash on naughty permissions” and provides three main components: sAWSage – enumerates IAM principals and resource policie
A Model Context Protocol (MCP) server to retrieve train schedules from National Rail. This project implements a server using the Model Context Protocol (MCP) that allows AI agents to retrieve train information on National Rail trains using the Realtime Trains API. It provides tools for: - getlivedepartures - getlivearrivals - getdeparturesbydate - getarrivalsbydate Real Time Trains API account can
MCP Server for Chronulus Chat with Chronulus AI Forecasting & Prediction Agents in Claude Claude for Desktop is currently available on macOS and Windows. Install Claude for Desktop here Follow the general instructions here to configure the Claude desktop client. You can find your Claude config at one of the following locations: - macOS: ~/Library/Application Support/Claude/claudedesktopconfig.json
Drive four external coding CLIs — Google's Antigravity (Gemini 3.6 Flash), OpenAI Codex, the GitHub Copilot CLI, and Cursor — as sub-agents inside Claude Code. Text answers, image generation, real repo work, and parallel swarms, on quota you already pay for. One MCP server, four backends. It exposes Google Antigravity, OpenAI Codex, the GitHub Copilot CLI, and Cursor to Claude Code as clean MCP to
A [Model Context Protocol][mcp] (MCP) server for Tripadvisor Content API. This provides access to Tripadvisor location data, reviews, and photos through standardized MCP interfaces, allowing AI assistants to search for travel destinations and experiences. [mcp]: https://modelcontextprotocol.io - [x] Search for locations (hotels, restaurants, attractions) on Tripadvisor - [x] Get detailed informati
A Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for Retrieval-Augmented Generation (RAG) applications. - Local Vector Storage: Uses FAISS for efficient similarity search without external dependencies - Document Ingestion: Automatically chunks and embeds documents for storage - Semantic Search: Query documents using natural language with sentence
Universal Deployment Tracker for AI Assistants Track deployments across all platforms directly in your AI conversation. No more context-switching. No more dashboard hunting. Watch Full Demo · Live Badge Demo ───────────────────────── Get started in under 30 seconds: That's it! The server is now running and ready to be configured in your AI assistant. ───────────────────────── deploy-mcp supports m
A Model Context Protocol (MCP) server that enables AI assistants to conduct structured, persona-driven sessions including interview preparation, personal reflection, and coaching conversations. Transform your AI interactions with realistic persona-driven sessions. Originally designed for mock interview preparation (practice with your "new boss" before that important meeting), this MCP server has e
MCP Server for the Bitrise API, enabling app management, build operations, artifact management, and more. - Comprehensive API Access: Access to Bitrise APIs including apps, builds, artifacts, and more. - Authentication Support: Secure API token-based access to Bitrise resources. - Detailed Documentation: Well-documented tools with parameter descriptions. - VS Code - Installation for VS Code IDE -