Enterprise DNA
M MCP Servers Developer low

ShipItAndPray/mcp-compress

by Various

First MCP server for data compression. 60x compression on docs, 30x on SQL, 20x on logs. Zero dependencies. Lossless. Auto-picks best algorithm. 7 tools for any AI agent.

S

MCP

ShipItAndPray/mcp-compress

Added 1 June 2026

#ai-agents #brotli #claude-code #compression #data-compression #developer-tools #gzip #mcp

Overview

This MCP server provides lossless data compression for AI agents. It automatically selects the best algorithm and achieves high compression ratios (60x for documents, 30x for SQL, 20x for logs). The server has zero dependencies and offers seven tools for compression tasks.

Best for

Best for
Developers needing lossless compression for AI agent workflows via MCP

Use cases

  • Compress documents before storage or transfer
  • Reduce size of SQL query logs
  • Shrink log files for archival

Notes

This MCP server provides lossless data compression for AI agents. It automatically selects the best algorithm and achieves high compression ratios (60x for documents, 30x for SQL, 20x for logs). The server has zero dependencies and offers seven tools for compression tasks.

0 stars on GitHub. Last updated 2026-03-25. Licensed MIT.

Use cases

  • Compress documents before storage or transfer
  • Reduce size of SQL query logs
  • Shrink log files for archival

Pros

  • Lossless compression preserves data integrity
  • Zero dependencies simplifies integration
  • Auto-picks best algorithm for each data type

Cons

  • Limited to data compression only, no other features
  • New project with zero stars may lack community support
  • Compression ratios vary by data type

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

Pros

  • Lossless compression preserves data integrity
  • Zero dependencies simplifies integration
  • Auto-picks best algorithm for each data type

Cons

  • Limited to data compression only, no other features
  • New project with zero stars may lack community support
  • Compression ratios vary by data type