1191 servers available
Discover and explore Model Context Protocol servers that provide tools, resources, and capabilities for AI applications.
by idosal
Provides a remote Model Context Protocol server that transforms any public GitHub repository into an up‑to‑date documentation hub, enabling AI assistants to fetch live code and docs, dramatically reducing hallucinations.
by grab
Enables Cursor AI to read and programmatically modify Figma designs through a Model Context Protocol integration.
by FlorianBruniaux
A comprehensive, 430K‑line reference that teaches the why behind Claude Code, covering agentic workflows, hooks, skills, MCP servers, quizzes, security hardening, and production‑ready templates.
by Q00
Turns vague development ideas into verified, runnable codebases by orchestrating interview, specification, execution, and evaluation loops across multiple LLM runtimes.
by Klavis-AI
Provides production‑ready MCP servers and a hosted service for integrating AI applications with over 50 third‑party services via standardized APIs, OAuth, and easy Docker or hosted deployment.
by farion1231
Manages and switches provider configurations and MCP servers for Claude Code and Codex on Windows, macOS, and Linux, supporting custom endpoints, cloud‑synced directories, and rapid configuration import/export.
by lharries
Enables searching, reading, and sending personal WhatsApp messages and media through a Model Context Protocol (MCP) server, storing all data locally in SQLite and exposing controlled tools for LLMs like Claude.
by executeautomation
Provides browser automation capabilities using Playwright, enabling language models to interact with web pages, capture screenshots, generate test code, scrape content, and execute JavaScript in a real browser environment.
by firecrawl
Provides powerful web scraping capabilities for LLM clients such as Cursor, Claude, and others, enabling content extraction, crawling, search, and batch processing through a Model Context Protocol server.
by firecrawl
Provides web scraping, crawling, search, and structured data extraction for LLM clients through a Model Context Protocol server.
by lingodotdev
Provides an AI‑powered toolkit for instant localization of web and mobile applications using LLMs, supporting build‑time compilation, CLI commands, CI/CD automation, and real‑time SDK translation.
by wonderwhy-er
Provides AI-driven terminal control, filesystem search, and diff‑based file editing for Claude via Model Context Protocol.
by firebase
Command line interface for managing, testing, and deploying Firebase projects, offering utilities for hosting, cloud functions, realtime database, Firestore, authentication, extensions, and local emulation.
by callstack
Enables AI coding agents to automate, inspect, and verify mobile applications across iOS, Android, HarmonyOS, TV platforms, web, macOS, and Linux using a CLI, an MCP server, or a typed Node.js API.
by TabularisDB
Provides a cross‑platform desktop workspace for managing, exploring, and querying a wide range of relational and NoSQL databases, with built‑in AI assistance, visual query building, and an extensible plugin system.
by 21st-dev
Generate modern UI components instantly from natural language descriptions, with seamless integration into supported IDEs and full TypeScript support.
by leerob
A community hub that aggregates Cursor plugins, MCP servers, events, jobs, and resources for developers to discover and contribute.
by sooperset
Provides a Model Context Protocol server that enables AI assistants to interact with Atlassian Confluence and Jira, supporting both cloud and server/data‑center deployments.
by CursorTouch
Enables AI agents to control the Windows operating system, performing file navigation, application launching, UI interaction, QA testing, and other automation tasks through a lightweight server.
by mckinsey
Build high-quality data visualization apps quickly using a low-code toolkit that leverages Plotly, Dash, and Pydantic.
by punkpeye
A TypeScript framework for building MCP servers that handle client sessions, offering opinionated APIs for tools, resources, prompts, authentication, streaming, edge runtime support, and extensive configurability.
by antvis
Offers over 25 AntV chart types for automated chart generation and data analysis, callable via MCP tools, CLI, HTTP, SSE, or streamable transports.
by makenotion
Provides a remote Model Context Protocol server for the Notion API, enabling OAuth‑based authentication and offering token‑efficient tools tailored for AI agents.
by cloudflare
Provides a collection of Model Context Protocol servers that enable MCP‑compatible clients to interact with Cloudflare services such as Workers, Observability, Radar, and more, allowing natural‑language driven management of configurations, data, and operations.
by stickerdaniel
Enables AI assistants to read and interact with LinkedIn data—including profiles, companies, jobs, and messages—through a locally‑run MCP server that operates on your own authenticated browser session.
by haris-musa
Manipulate Excel workbooks—create, read, update, format, chart, and pivot—through an MCP server without requiring Microsoft Excel to be installed.
by CodeGraphContext
Indexes local codebases into a graph database, allowing AI assistants and developers to query code relationships and context using natural language.
by msgbyte
Provides integrated website traffic analysis, uptime checking, and server health monitoring in a single self‑hosted platform.
by jgravelle
Provides precise, symbol‑level code retrieval via tree‑sitter AST to dramatically reduce AI token consumption during code exploration and editing.
by IBM
A central management point that unifies REST, MCP, and streamable HTTP endpoints, providing federated discovery, authentication, rate‑limiting, observability, virtual servers, and an optional admin UI for AI tools, prompts, and resources.
by snyk
Scans installed AI agent components, MCP servers, and skill files for prompt‑injection, tool poisoning, toxic flows, hard‑coded secrets and other supply‑chain risks.
by mobile-next
Provides a platform‑agnostic server that enables agents and LLMs to interact with native iOS and Android applications via structured accessibility snapshots or coordinate‑based taps, running on simulators, emulators, or physical devices.