Discover our curated collection of MCP servers for developer tools. Browse 15055servers and find the perfect MCPs for your needs.
Provides text-to-speech and speech-to-text capabilities using Windows' built-in speech services.
Enables AI assistants to interact with and manage CouchDB databases and documents through a simplified interface.
Provides a stateful terminal as an MCP tool server.
Provides a tree-like representation of a Git repository's directory structure and reads specified file contents.
Facilitates interaction with Model Context Protocol by providing a JavaScript SDK for defining server prompts, resources, and tools.
Provides a modular Model Context Protocol (MCP) server template designed for customization and extension.
Bridges AI models with Lark's collaboration platform, enabling interactions with its various capabilities.
Connects Large Language Models to YNAB budget data for automated financial insights.
Provides comprehensive Quarkdown document processing functionalities, enabling AI assistants to compile, validate, preview, and batch process documents via a standardized interface.
Implements a simple, asynchronous Modern Context Protocol (MCP) server and client for exposing and consuming remote functions.
Facilitates remote execution of AppleScript and JavaScript for Automation (JXA) scripts on macOS, enabling programmatic control over applications and system functions.
Wraps native Delphi (RAD Studio) compilers to enable automatic Debug/Release builds for Object Pascal projects.
Provides a comprehensive Model Context Protocol server for secure AI model communication with external tools and services.
Enables AI assistants to search and access Arknights game data through a simple interface.
Manages project-specific AGENTS.md files and structured progress tasks through a Streamable HTTP endpoint.
Offers comprehensive access to the HackerNews Algolia API, enabling AI assistants and Model Context Protocol clients to interact with its content.
Conducts comprehensive web searches for information by leveraging the Model Context Protocol and Tavily API.
Accesses real-time NYC subway data for arrivals, routes, and alerts, leveraging AI for natural language and location-aware queries.
Manages ZenTao bugs by providing capabilities for product search, bug querying, and resolution.
Provides LLMs with persistent, project-specific memory via a SQLite-backed Model Context Protocol server, eliminating the need to re-explain project context.
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