drolosoft/go-docs-mcp
by Various
ππΉβ‘ Go MCP server for multi-format document access β PDF, TXT, MD, DOCX, CSV, images. Install and Go.
MCP
drolosoft/go-docs-mcp
Added 1 June 2026
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_DIRPDF_MCP_DIRlist_documentslist_formatsread_documentread_urlget_document_summarysearch_documentget_document_metadataget_document_outlineextract_tablesextract_imagesocr_documentread_imageconvert_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
Pairs with
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