Discover our curated collection of MCP servers for developer tools. Browse 13683servers and find the perfect MCPs for your needs.
Streams up-to-date package documentation to AI coding assistants.
Provides access to Evan You's legendary v-rapper video from VueConf 2025.
Provides a Model Context Protocol server for connecting to and managing diverse database types with powerful AI-driven tools.
Control Spotify playback using natural language commands directly from your code editor or other MCP-compatible applications.
Plays notification sounds when AI coding assistants like Windsurf or Cursor require user attention.
Enables interaction with Jira instances using natural language commands through a Model Context Protocol (MCP) server.
Implements a Python server for Feishu (Lark) bots utilizing the Model Context Protocol for standardized messaging.
Enables Large Language Models like Claude to directly query and interact with Snowflake databases via the Model Context Protocol.
Enables LLMs to perform internet research with real-time information and source citations using the Perplexity API.
Enables Claude to interact with Xano databases through the Xano Metadata API.
Sends webhook notifications when called via Model Context Protocol (MCP).
Access and retrieve comprehensive accessibility criteria for web and native components from MagentaA11y.
Provides comprehensive access to Hong Kong Legislative Council's open data through a remote server deployed on Cloudflare Workers.
Empowers AI assistants to interact with databases, analyze queries, and perform comprehensive database management tasks.
Integrates the Augment Code CLI as a coding agent, providing tools for repository Q&A and automated code implementation within AI development environments.
Provides a standardized Model Context Protocol (MCP) interface for interacting with the atPlatform ecosystem.
Facilitates the creation of serverless Model Context Protocol (MCP) servers using a flexible provider plugin system for deployment on Cloudflare Workers and other edge runtimes.
Provides LLMs with access to and knowledge about databases via a Model Context Protocol (MCP) server.
Provides context about software supply chains to large language models and AI agents.
Reduces language model token consumption by efficiently caching data between interactions.
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