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"Kingsoft Document Connector" matching MCP servers:

  • A
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    Indexes local documents (PDF, Word, Markdown, text) into a SQLite database for AI agents to search and retrieve bounded, source-located passages. Runs fully locally with optional OCR, preserving privacy.
    5
    MIT
  • A
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    Verifiable document intelligence for AI agents. Extract text, tables, and structured data from PDFs and URLs. Summarize, answer questions, check claims, and translate — all with cited evidence. Store tamper-evident evidence bundles with cryptographic signatures and on-chain attestation via Base L2. Cross-document semantic search and Q&A across named collections. Pay per call with USDC
    22
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    MIT
  • F
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    Natural language to SQL engine with multi-connector support (PostgreSQL, MySQL, Snowflake, BigQuery, DuckDB), document QA, semantic caching, and self-hosted MCP server.
    9
    2
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    A local document evidence layer for MCP clients that ingests documents (PDF, Office, images) with optional OCR, indexes them in SQLite FTS, and provides retrieval tools with source coordinates.
    7
    MIT
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    quality
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    Provides AI tools with access to ProudNet documentation through search, page retrieval, and section listing capabilities. Enables users to query ProudNet networking library documentation using natural language.
    3
    10
    MIT
  • A
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    quality
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    Enables AI agents to search, deep-read, and build knowledge bases from Markdown, PDF, DOCX, and PPTX documents via MCP tools for retrieval, document navigation, and ingestion.
    70
    616
    MIT
  • A
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    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
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    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
  • A
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    quality
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    Self-hosted MCP server that connects Google Search Console to AI assistants, enabling natural language queries about search analytics, sitemaps, and URL inspection data.
    MIT
  • A
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    A vector search system that enables semantic retrieval of document chunks using MongoDB Atlas Vector Search and Voyage AI embeddings, allowing users to search documents by meaning rather than just keywords.
    2
    MIT
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    MCP server for Autodesk's Aware employee directory, enabling search for people by name, email, or title, fetching individual records, viewing org reporting lines, and reading your own profile. It uses your own logged-in session to access the same data as the web app, read-only.
    MIT
  • A
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    quality
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    An MCP server for Dext Data Health & Insights, enabling client portfolio summaries, health risk detection, client comparisons, and health snapshots through secure tenant-scoped tools.
    Apache 2.0
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    Self-hosted MCP server for Google Search Console. Enables natural language queries to list sites, analyze search analytics, inspect URLs, and check sitemaps through AI assistants.
    MIT