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drolosoft/go-docs-mcp

by Various

πŸ“„πŸΉβš‘ Go MCP server for multi-format document access β€” PDF, TXT, MD, DOCX, CSV, images. Install and Go.

D

MCP

drolosoft/go-docs-mcp

Added 1 June 2026

#claude #cli #documents #docx #go #linux #macos #markdown

Overview

A Go-based MCP server that provides access to documents in multiple formats including PDF, TXT, MD, DOCX, CSV, and images. It is designed for easy installation and integration into MCP workflows.

Best for

Best for
Developers needing a lightweight, multi-format document MCP server in Go

Use cases

  • Extracting text from PDFs for downstream processing
  • Reading CSV data into an MCP pipeline
  • Parsing DOCX files for content analysis

How to use

Install

go install github.com/drolosoft/go-docs-mcp@latest

Tools exposed

  • DOCS_MCP_DIR
  • PDF_MCP_DIR
  • list_documents
  • list_formats
  • read_document
  • read_url
  • get_document_summary
  • search_document
  • get_document_metadata
  • get_document_outline
  • extract_tables
  • extract_images
  • ocr_document
  • read_image
  • convert_to_markdown

Tested with

Claude Code, Claude Desktop

Example client config

[object Object]

Notes

A Go-based MCP server that provides access to documents in multiple formats including PDF, TXT, MD, DOCX, CSV, and images. It is designed for easy installation and integration into MCP workflows.

3 stars on GitHub. Last updated 2026-05-19. Licensed MIT.

Use cases

  • Extracting text from PDFs for downstream processing
  • Reading CSV data into an MCP pipeline
  • Parsing DOCX files for content analysis

Pros

  • Supports a wide range of document formats
  • Written in Go for performance and easy deployment
  • Simple installation with minimal dependencies

Cons

  • Low community adoption (3 stars) may indicate limited maturity
  • Image support likely limited to basic metadata or OCR not guaranteed
  • Documentation and examples may be sparse

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Supports a wide range of document formats
  • Written in Go for performance and easy deployment
  • Simple installation with minimal dependencies

Cons

  • Low community adoption (3 stars) may indicate limited maturity
  • Image support likely limited to basic metadata or OCR not guaranteed
  • Documentation and examples may be sparse
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