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"Assistance with CURSOR Programming" matching MCP servers:

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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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    32
    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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    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 Cursor's AI agent to perform supercharged local file search on Windows by connecting to Agent Ransack via MCP, supporting content and filename searches, regex, and deep folder scans.
    1
    MIT
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    A Model Context Protocol server that enhances LLM capabilities by connecting to Wikipedia, internet search (Tavily), and financial data (Yahoo Finance) tools, enabling contextual responses to user queries.
    3
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    MCP server for SAP S/4HANA Sales Order Management that enables natural language queries for sales orders, order details, and line items using SAP's public sandbox API. Built with offline testing, structured errors, and retry policies.
    MIT
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    Enables LLMs to perform sophisticated web searches through proxy servers using Tavily's API, supporting comprehensive web searches, direct question answering, and recent news article retrieval with AI-extracted content.
    3
    MIT
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    MCP server for indexing, semantic search, and generation of multi-format documents. Exposes 13 tools over JSON-RPC 2.0 so an LLM can search your local PDF, Excel, and Word files, and create or edit Excel and Word documents.
    AGPL 3.0
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    Enables AI-powered resume scoring and feedback through secure Google OAuth authentication. Provides FastAPI endpoints for resume evaluation with plans for leaderboard visualization and competitive scoring features.
    Apache 2.0
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    Connects Bear Notes to AI assistants using semantic search and RAG (Retrieval-Augmented Generation), allowing AI systems to access and understand your personal knowledge base through meaningful search rather than just keyword matching.
    30
    13
    MIT