Discover our curated collection of MCP servers for developer tools. Browse 18038 servers and find the perfect MCPs for your needs.
Leverages Google's Gemini API to provide sequential thinking and problem-solving capabilities without code generation.
Enables LLMs to interact with SQL databases such as SQLite, SQL Server, and PostgreSQL, along with MongoDB.
Simplifies interaction with Model Context Protocol (MCP) servers by providing an easy-to-use Python interface for connecting, reading resources, and calling tools.
Provides a complete interface to the Delve debugger for Go programs through MCP tools.
Provides a Model Context Protocol (MCP) server implementation for the HuLa instant messaging application, enabling contextual awareness and functional support.
Enables persistent knowledge storage for Claude through a knowledge graph with multiple storage backends.
Enables AI assistants to interact with Figma for reading data and analyzing designs via WebSocket.
Enables AI assistants to participate in team conversations across multiple chat platforms, such as Google Chat, Slack, and Microsoft Teams.
Renders diagrams from code using the Eraser API via a Python MCP server and CLI tool.
Empowers AI assistants to interact directly with the Unity Editor, facilitating AI-assisted game development and automation.
Enables AI assistants to interact directly with the microCMS content management system.
Enhances AI coding assistants by providing a persistent memory and cross-project intelligence layer within integrated development environments.
Integrate Ecovacs cleaning robot control capabilities into large language models and intelligent agents via the MCP protocol.
Compose multi-track music by interacting with a Large Language Model and outputting to MIDI devices.
Provides a hyper-personal, always-on, open-source AI companion for automating personal and professional tasks.
Enhances AI coding assistants by providing intelligent semantic code search, similar code discovery, and smart code chunking within your codebase.
Empowers AI agents by providing a local, self-hosted universal memory system that eliminates 'AI amnesia,' automatically capturing, clustering, and surfacing knowledge across all developer projects and tools.
Aggregates multiple Model Context Protocol (MCP) servers into a single endpoint, providing unified tool search, description, and invocation.
Observe any line of running code without restarts, code changes, or compromising production safety.
Enables AI agents to perceive and interact with your desktop environment through screenshots, UI control, browser automation, and OCR on macOS and Windows.
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