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.
1089 servers
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An MCP server that provides safe access to your iMessage database through Model Context Protocol (MCP). This server is built with the FastMCP framework and the imessagedb library, enabling LLMs to query and analyze iMessage conversations with proper phone number validation and attachment handling. - macOS (required for iMessage database access) - Python 3.6+ Install all required dependencies: - fa
Progressive disclosure for MCP - Minimal context bloat with on-demand tool discovery and dynamic server provisioning. When Claude Code connects directly to multiple MCP servers (GitHub, Jira, DB, etc.), it loads all tool schemas into context. This causes: - Context bloat: Dozens of tool definitions consume tokens before you even ask a question - Static configuration: Requires Claude Code restart t
MCP Server that can connect to a Kubernetes cluster and manage it. Supports loading kubeconfig from multiple sources in priority order. Before using this MCP server with any tool, make sure you have: 1. kubectl installed and in your PATH 2. A valid kubeconfig file with contexts configured 3. Access to a Kubernetes cluster configured for kubectl (e.g. minikube, Rancher Desktop, GKE, etc.) 4. Helm v
日本語版 READMEはこちら Model Context Protocol (MCP) server implementation that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account. 1. pushtextmessage - Push a simple text message to a user via LINE. - userId (string?): The user ID to receive a message. Defaults to DESTINATIONUSERID. Either userId or DESTINATIONUSERID must be set. - message.text (string): The plain text
An MCP server implementation wrapping Ankr Advanced API. FastMCP is a Model Context Protocol (MCP) server that provides access to Ankr's Advanced API for blockchain data. It allows LLMs to interact with blockchain data across multiple chains including Ethereum, BSC, Polygon, Avalanche, and more. - Complete wrapper for all Ankr Advanced API endpoints - NFT API: Get NFT metadata, holders, transfers,
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 (MCP) server that exposes FinBrain datasets to AI clients (Claude Desktop, VS Code MCP extensions, etc.) via simple tools. Backed by the official finbrain-python SDK. - Package name: finbrain-mcp - CLI entrypoint: finbrain-mcp - Documentation: finbrain.tech/integrations/mcp Access FinBrain's machine learning price forecasts with daily (10-day) and monthly (12-month) horizo
An MCP Server that enables AI assistants to interact with your local browsers. 1. Add MCP Browser Kit to your MCP Client: 2. Choose the right extension build for your browser: - Check the Compatibility table below to see which build (M2 or M3) is compatible with your browser - Note that M2 builds offer more functionality than M3 builds, so prefer M2 if your browser supports both 3. Download the la
Clarity in Code, Confidence in Creation Lucidity is a Model Context Protocol (MCP) server designed to enhance the quality of AI-generated code through intelligent, prompt-based analysis. By providing structured guidance to AI coding assistants, Lucidity helps identify and address common quality issues, resulting in cleaner, more maintainable, and more robust code. Before you commit, just ask Lucid
Stop fumbling with GUI apps to debug Bluetooth Low Energy devices. blew gives you full BLE control from the macOS command line: scan the airwaves, drill into any device's GATT tree, read and write characteristics, stream live notifications, and even spin up a virtual peripheral that other devices can connect to. - One tool, zero ceremony. Scan, connect, inspect, read, write, subscribe -- each is a
The NocoDB MCP Server enables seamless interaction with your NocoDB database using the Model Context Protocol (MCP). This server makes it easy to perform CRUD (Create, Read, Update, Delete) operations on NocoDB tables through natural language commands. JSON location file in: exampleupload.json This repository is a TypeScript-based fork of NocoDB-MCP-Server. It retains the core functionality while
English | 中文 A MCP server that send desktop notifications with sound effect when agent tasks are completed. - Send system desktop notifications after agent tasks completion - Play alert sounds to grab user attention, with sound file inside. - Cross-platform support (Windows, macOS, Linux) - Based on standard MCP protocol, integrates with various LLM clients After installation, call the module dire
This project provides Model Context Protocol (MCP) for the Mifos X Ecosystem, enabling AI agents to access financial data and operations. Implementations is available in Java (Quarkus). Use the MCP Inspector to test and debug your server: This starts a local web UI to connect to your MCP server via STDIO or SSE. Prerequisites: JDK 21+, Maven 1. Configure environment variables in your shell or IDE:
A Model Context Protocol (MCP) server for shipment tracking api, package monitoring, and logistics management using the TrackMage API. Supports tracking across 1600+ carriers worldwide. - Carrier Support: Track packages across 1600+ carriers worldwide (full list) - Resources: Workspaces, shipments, orders, carriers, tracking statuses - Tools: Create shipments/orders, get shipment checkpoints, carr
An MCP (Model Context Protocol) server that provides unified access to multiple Large Language Model APIs for AI coding environments like Cursor and Claude Desktop. - 🌐 8 LLM Providers – ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, Mistral - 🎯 Smart Model Selection – Tag-based preferences (coding, business, reasoning, math, creative, general) - 📊 Prompt Logging – Track all prompts
A powerful MCP server for Google search that enables parallel searching with multiple keywords simultaneously. - Parallel Searching: Supports searching with multiple keywords on Google simultaneously, improving search efficiency - Browser Optimization: Opens multiple tabs in a single browser instance for efficient parallel searching - Automatic Verification Handling: Intelligently detects CAPTCHA
A Model Context Protocol (MCP) server for interacting with Twitter. To install Twikit Twitter Search for Claude Desktop automatically via Smithery: Using mcp-client-cli
A Model Context Protocol (MCP) server that provides AI-powered access to the Oorlogsbronnen (War Sources) database. This server enables natural language interactions with historical World War II archives from the Netherlands. Ask your AI assistant questions like these to explore Dutch WWII history: - "What happened during the bombing of Rotterdam in May 1940?" - "Tell me about Anne Frank's life in
Security scanner for AI coding agents, MCP servers, prompts, and AI-suggested packages. Run it before Claude Code, Cursor, Windsurf, Cline, OpenCode, or another agent trusts new code, tools, prompts, or dependencies. Scan any repo and get an A-F agent security grade: Install the scanner into your AI coding client: Replace claude-code with cursor, claude-desktop, windsurf, cline, kilo-code, opencod
The CockroachDB MCP Server is a natural language interface designed for LLMs and agentic applications to manage, monitor, and query data in CockroachDB. It integrates seamlessly with MCP (Model Content Protocol) clients, such as Claude Desktop or Cursor, enabling AI-driven workflows to interact directly with your database. - Cluster Monitoring - Database Operations - Table Management - Query Engin
This model context protocol (MCP) server interfaces with the CyberChef Server API. Allowing you to use any LLM/MCP client of your choosing to utilise the tools and resources within CyberChef. 🧰 Available Tools and Resources - getcyberchefoperationscategories: resource - gets updated Cyber Chef categories for additional context / selection of the correct operations - getcyberchefoperationbycategor
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.
Turn any CLI tool into an MCP server. Uses the --help to build MCP tools. Works with any CLI tool that has --help output. Build a cache first for better performance: