a-server-for-retrieving-document-content MCP servers

"a-server-for-retrieving-document-content" matching MCP servers:

• MedAdapt Content Server

  ryoureddy

  -

  security

  A

  license

  -

  quality

  A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.

  Last updated 10 months ago

  6

  MIT

• content-core

  lfnovo

  A

  security

  A

  license

  A

  quality

  Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

  Last updated 5 days ago

  1

  120

  MIT

• Langflow Document Q&A Server

  GongRzhe

  A

  security

  A

  license

  A

  quality

  Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

  Last updated 10 months ago

  1

  15

  MIT

• Document Q&A MCP Server

  SY-MR-CODER

  -

  security

  A

  license

  -

  quality

  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.

  Last updated 23 days ago

  MIT

• MCP Document Server

  onoda4480

  -

  security

  F

  license

  -

  quality

  Efficiently delivers project documentation to AI agents like Claude on-demand, optimizing token usage by loading context only when needed. Supports document retrieval, listing, and keyword search with security features.

  Last updated 2 months ago

• Document Q&A MCP Server

  sprchr

  -

  security

  A

  license

  -

  quality

  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.

  Last updated a month ago

  MIT