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Improving Cursor Efficiency and Smart Features MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

70,129 tools. Last updated 2026-02-07 02:59
  • Query multiple AI backends with smart routing and automatic fallback chains. Features dynamic token scaling, Unity detection, and response tracking across local, Gemini, DeepSeek, and Qwen models.
    Apache 2.0
  • Check if AI-powered features like RAG-based Q&A, semantic search, and document summarization are enabled and view index statistics for the Outline wiki.
  • Generate IDE-specific configurations for Cursor, VS Code, and IntelliJ to streamline project setup and enhance coding efficiency. Customize with auto-loaded context, debugging setups, and tailored rules.

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