"How to generate a PDF from a Markdown file" matching MCP servers:

• MCP-Markdown-RAG

  Zackriya-Solutions

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  A Model Context Protocol (MCP) server that provides a local-first RAG engine for your markdown documents. It uses a file-based Milvus vector database to index your notes, enabling LLMs to perform semantic search and retrieve relevant content from your local files.

  Last updated 2025-07-09

  3

  56

  Apache 2.0

• Markdown RAG MCP Server

  SowmeshSharma0

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  A Model Context Protocol server that provides RAG capabilities for markdown documents using Qdrant for vector storage and Ollama for embeddings, enabling semantic search and document ingestion directly from Cursor IDE.

  Last updated 2026-01-04

• MCP PDF Server

  BhagyeshRashinkar

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  Enables AI assistants to query PDF documents by ingesting them into a vector database and generating answers grounded in the actual documents.

  Last updated 2026-03-05

  21

  1

  MIT

• Antigravity PDF MCP Server

  asoluka

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  Enables intelligent ingestion and querying of PDF, Markdown, and text files using hybrid search that combines keyword matching and semantic embeddings with citations.

  Last updated 2025-12-04

  2

• Markdown RAG

  ashrobertsdragon

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  A Retrieval Augmented Generation system that enables AI assistants to perform semantic searches and manage document indices for markdown files. It supports PostgreSQL with pgvector and integrates both Google Gemini and Ollama for intelligent embedding generation.

  Last updated 2026-05-12

  1

  MIT

• PDF RAG MCP Server

  hyson666

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  A document knowledge base system that enables users to upload PDFs and query them semantically through a web interface or via the Model Context Protocol, allowing integration with AI tools like Cursor.

  Last updated 2025-05-23

  42

• PDF Knowledgebase MCP Server

  juanqui

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  A Model Context Protocol server that enables intelligent document search and retrieval from PDF collections, providing semantic search capabilities powered by OpenAI embeddings and ChromaDB vector storage.

  Last updated 2025-09-15

  13

  MIT

• PDF MCP Server

  rhuanca

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  Enables AI-powered querying of PDF documents using hybrid retrieval (BM25 + vector search) and retrieval-augmented generation, returning structured answers with source citations and confidence scores.

  Last updated 2025-11-24

• PDF RAG MCP Server

  wesleygriffin

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  Enables intelligent search and question-answering over PDF documents using semantic similarity and keyword search. Supports OCR for scanned PDFs, persistent vector storage with ChromaDB, and maintains source tracking with page numbers.

  Last updated 2025-11-11

  5

  MIT

• Tiny Chat

  to-aoki

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  A lightweight RAG system that provides an MCP server for searching and interacting with vector-based knowledge bases. It enables users to perform retrieval-augmented generation and search across Qdrant collections through a standardized interface.

  Last updated 2025-12-19

  2

  MIT

• local-document-rag-agent

  iupulk

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  MCP server enabling Claude Desktop to answer questions from local Word and PDF documents by searching a vector index built from their contents.

  Last updated 2026-06-27
• 

  Tribalofficial

  tribal-memory

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  Semantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.

  Last updated 2026-06-28

  10

  8

• graph-mcp

  cao-jacky

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  Exposes a Neo4j knowledge-graph index over personal markdown notes to LLM agents via MCP, enabling semantic search, tag navigation, and relationship discovery.

  Last updated 2026-08-03

  6

• Local RAG

  shinpr

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  Privacy-first local document search using semantic search. Runs entirely on your machine with no cloud services, supporting PDF, DOCX, TXT, and Markdown files.

  Last updated 2026-07-31

  7

  4,509

  358

  MIT

• mcp-recall-md

  kalikin-artem

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  Enables semantic search over local markdown note collections using vector embeddings, with real-time file watching and zero-config setup.

  Last updated 2026-06-19

  4

  MIT

• MCP RAG Server

  LuizDoPc

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  Provides local Retrieval-Augmented Generation (RAG) capabilities using Ollama for embeddings and ChromaDB for vector storage. It enables users to ingest and perform semantic searches across PDF, Markdown, and TXT documents within MCP-compatible clients.

  Last updated 2025-09-25

  4

  34

  1

  MIT
• 

  mcp-server-qdrantofficial

  qdrant

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  This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

  Last updated 2026-07-24

  2

  1,483

  Apache 2.0

• MCP Tooling Lab

  kaypon

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  A Node.js-based MCP server that enables AI agents to generate embeddings, index documents, and perform semantic vector searches using OpenAI and Chroma. It facilitates the creation of retrieval-augmented generation (RAG) pipelines for internal knowledge assistants and document-based workflows.

  Last updated 2025-12-14

  3

• MCP RAG

  santis84

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  A complete MCP server for Retrieval-Augmented Generation with file management and vector memory for agents. Supports multiple document formats (PDF, DOCX, TXT, MD, CSV, JSON) with semantic search using Hugging Face embeddings and ChromaDB for efficient vector storage.

  Last updated 2025-08-29

  11

  14

  1

  MIT
• 

  FieldCure MCP RAG Serverofficial

  fieldcure

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  A Model Context Protocol server for indexing and searching local document collections with hybrid BM25+vector search, optimized for Korean and English, supporting DOCX, PDF, audio, and more.

  Last updated 2026-05-25

  MIT