Discover our curated collection of MCP servers for developer tools. Browse 13671servers and find the perfect MCPs for your needs.
Generates detailed diagrams to visualize complex codebases and system architectures using AI.
Empower AI coding assistants with a robust suite of Next.js development tools and utilities.
Offers documentation and best practices for effectively using and extending Cline's capabilities.
Facilitates rapid development of AI-native applications through model invocation, workflow orchestration, and application deployment.
Enables AI assistants to interact with Home Assistant, allowing natural language control of smart home devices, state queries, service execution, and automation management.
Enables Obsidian to integrate with AI applications through the Model Context Protocol.
Analyzes software composition to extract inventory data, detect vulnerabilities, and generate SBOMs.
Provides visual context to agentic coding tools by allowing users to select browser DOM elements and feeding their data to AI.
Recommends Model Context Protocol (MCP) tools to effectively guide problem-solving by breaking down complex tasks into manageable steps.
Provides non-IDE dependent Language Server Protocol integration for Claude Code, enhancing its coding capabilities.
Bypasses search engine anti-scraping mechanisms to execute Google searches and extract results.
Provides a server enabling models to better understand Vue applications by exposing the component tree, state, routes, and Pinia data.
Powers AI agents with a semantic engine for accessing business data with accuracy, context, and governance.
Acts as a middleware MCP server to interact with the upstream Sentry API provider via LLMs.
Provides seamless access to Apple Developer Documentation directly within AI coding assistants, featuring smart search and wildcard support.
Provides a comprehensive collection of Model Context Protocol (MCP) servers across various categories.
Connects a local Home Assistant instance to Language Learning Models (LLMs) via the Model Context Protocol (MCP).
Analyzes Java thread dumps and heap information to diagnose performance, deadlocks, and memory issues in Java applications.
Enables ultra-fast, cognitive code search for AI agents by inferring intent from code structure without reading files.
Enables Emacs to interface with MCP servers for structured communication and resource management.
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