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"Improving Cursor Functionality with Structured Plans and Multi-Step Tasks" matching MCP servers:

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    An MCP server and CLI tool that transforms codebases into AI-ready context through semantic search, call graph analysis, and incremental indexing. It enables AI assistants to perform hybrid vector and keyword searches to understand complex repository structures and cross-file relationships.
    5
    14
    1
    MIT
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    MCP server for browsing, searching, exporting, and backing up your Cursor AI chat history directly into Claude via natural language.
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    MIT
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    An MCP server that provides AI assistants with team analytics capabilities for Cursor editor, allowing them to retrieve team member information, usage metrics, and spending data through natural language queries.
    3
    3
    MIT
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    An MCP server that enables AI agents to search, read, and create notes across six note-taking platforms (Feishu, Obsidian, Notion, Yuque, OneNote, Evernote) through a single unified interface.
    MIT
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    An MCP server that pulls PageSpeed Insights and Google Search Console data across multiple owned sites, enabling cross-site performance reports and synthesis via Claude.
    MIT
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    Local-only MCP server that indexes Cursor agent transcripts, identifies unfinished or on-hold chats, and provides tools to search, view, and resume them.
    2
    MIT
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    Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.
    1
    MIT
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    Enables users to interact with PostgreSQL databases through natural language, with GitHub OAuth authentication and role-based access control.
    MIT
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    An MCP server that enables Claude to query multiple databases (PostgreSQL, ClickHouse, MaxCompute) with automatic schema discovery and intelligent table search.