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"A query about frontend development or technologies" matching MCP servers:

  • Query Engine MCP

    gufengdong
    F
    license
    -
    quality
    B
    maintenance
    Enables agents to perform controlled enterprise data queries through semantic intent, with runtime validation of statistics, filters, granularity, permissions, and physical bindings. Exposes tools like semantic_query for safe, fail-closed access to data horizons and capabilities.

  • RAG In A Box MCP Server

    DevNexsler
    F
    license
    -
    quality
    B
    maintenance
    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
    4

  • TDengine Query MCP Server

    Abeautifulsnow
    A
    license
    B
    quality
    C
    maintenance
    A Model Context Protocol (MCP) server that provides read-only TDengine database queries for AI assistants, allowing users to execute queries, explore database structures, and investigate data directly from AI-powered tools.
    6
    10
    MIT

  • Fan Out Query MCP

    houtini-ai
    A
    license
    B
    quality
    D
    maintenance
    Advanced content gap analysis using Query Decomposition and Keyword Fan-Out (Google's patented methodology). Tells you exactly what user queries your content covers - and what it misses. Built on academic research because I needed to understand how AI search engines actually evaluate content.
    1
    71
    12
    Apache 2.0

  • Document Q&A MCP Server

    SY-MR-CODER
    A
    license
    -
    quality
    D
    maintenance
    A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.
    MIT

  • Document Q&A MCP Server

    sprchr
    A
    license
    -
    quality
    D
    maintenance
    Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.
    MIT

  • MCP PostgreSQL Secure Query

    congdinh2008
    A
    license
    -
    quality
    D
    maintenance
    Provides secure, read-only PostgreSQL database access via MCP tools like query_inventory and get_top_sales. Blocks dangerous SQL commands while allowing AI to execute controlled SELECT queries.
    14
    9
    ISC

  • QMD - Query Markdown

    ehc-io
    A
    license
    -
    quality
    D
    maintenance
    Provides hybrid search over local markdown knowledge bases using BM25 keyword search and vector semantic search. Enables indexing, querying, and retrieving markdown documentation with dual-mode support for local and remote agents.
    31,988
    16
    MIT

  • Docs Query MCP

    JaxsonWang
    A
    license
    -
    quality
    D
    maintenance
    Enables semantic search and retrieval over local Markdown/MDX documentation using Node.js-based embeddings. Supports multi-language documentation with offline vector indexing and MCP tool exposure for AI assistants.
    32
    3
    MIT

  • Enhanced MCP Stock Query

    fjing1
    F
    license
    -
    quality
    D
    maintenance
    Enables AI-powered natural language stock market queries with real-time data from Yahoo Finance and CSV fallback. Uses Google Gemini to interpret queries and automatically fetch stock prices, comparisons, and market summaries.

  • Data Query MCP Server

    cfy114514
    F
    license
    -
    quality
    D
    maintenance
    Enables querying and analyzing user, product, and order data with filtering capabilities and real-time statistics. Supports WebSocket connections to XiaoZhi AI platform with automatic reconnection.

  • RAG Query MCP Server

    Akashbakshi99
    F
    license
    -
    quality
    C
    maintenance
    Enables querying a hybrid-retrieval RAG pipeline (dense + BM25) over ingested PDF documents, returning answers generated by Gemini.