mcp-compress
The first MCP server for data compression. Gives any AI agent the ability to compress, decompress, analyze, and store data.
10,000+ MCP servers exist. Zero for compression. This is the first.
Zero dependencies. Pure Node.js. Lossless round-trip. Auto-picks the best algorithm.
Benchmarks
Real results on real data types:
| Data Type | Original | Compressed | Ratio | Saved |
|---|---|---|---|---|
| Markdown docs (15KB) | 31.2 KB | 0.5 KB | 60.7x | 98.4% |
| Repeated config (2KB) | 5.4 KB | 0.1 KB | 51.9x | 98.1% |
| SQL query results (8KB) | 18.9 KB | 0.6 KB | 30.4x | 96.7% |
| Log files (20KB) | 33.3 KB | 1.7 KB | 19.9x | 95.0% |
| JSON API response (10KB) | 26.7 KB | 2.6 KB | 10.2x | 90.2% |
| Time-series prices (4KB) | 20.5 KB | 3.0 KB | 6.9x | 85.5% |
| CSV data (5KB) | 8.1 KB | 2.4 KB | 3.4x | 70.5% |
Every compression is lossless — decompress returns the exact original, byte-for-byte.
Install
Claude Code
Add to ~/.claude/settings.json:
{
"mcpServers": {
"compress": {
"command": "npx",
"args": ["-y", "mcp-compress"]
}
}
}
OpenClaw / Any MCP Client
npx mcp-compress
Speaks MCP protocol over stdio. Works with any MCP-compatible AI agent.
From Source
git clone https://github.com/ShipItAndPray/mcp-compress.git
cd mcp-compress
node index.js
Tools
7 tools available to any connected agent:
| Tool | What it does |
|---|---|
compress |
Compress text/JSON/CSV. Auto-picks best algorithm (gzip, brotli, deflate). Returns base64 + ratio. |
decompress |
Decompress back to original. Lossless round-trip verified. |
analyze |
Shannon entropy, compressibility rating, all algorithms compared, recommendation. |
store |
Compress and persist to disk with a key. Compressed key-value store for agents. |
retrieve |
Decompress and return stored data by key. |
list |
List all stored items with sizes and compression ratios. |
stats |
Total items stored, bytes saved, overall compression ratio. |
Usage Examples
Compress a large API response:
compress(data: "<10KB JSON>", algorithm: "auto")
→ { ratio: "10.2x", saved_percent: "90.2%", algorithm: "brotli" }
Analyze before compressing:
analyze(data: "<your data>")
→ { compressibility: "HIGH", best_ratio: "30.4x", recommendation: "compress everything" }
Store data for later retrieval:
store(data: "<research notes>", name: "market-analysis")
→ { key: "market-analysis", ratio: "8.3x", saved: "12,450 bytes" }
retrieve(key: "market-analysis")
→ { data: "<original research notes>" }
Check what you've stored:
stats()
→ { stored_items: 14, total_saved_bytes: 284102, overall_ratio: "11.2x" }
Why This Exists
- AI agents generate and consume massive amounts of text — API responses, code, docs, data
- Context windows are expensive. Compressed storage = more data in less space = lower cost.
- MCP is the standard protocol for AI agent tools. 10,000+ servers, none for compression.
- Auto-algorithm selection means the agent doesn't need to know anything about compression — it just works.
How It Works
- Auto-algorithm selection — tests gzip, brotli, and deflate on your data, picks the smallest result
- Brotli wins 90% of the time — purpose-built for text, consistently 20-40% smaller than gzip
- Compressed key-value store —
store/retrievegives agents persistent compressed storage at~/.mcp-compress/ - Shannon entropy analysis —
analyzetells you if compression is even worth it before you do it
Test Results
10/10 evals passing:
✓ Initialize returns protocol version
✓ Lists all 7 tools
✓ Compress returns valid base64 and ratio > 1x
✓ Round-trip is lossless
✓ Analyze returns compressibility recommendation
✓ Store and retrieve preserves data
✓ Stats returns valid counts
✓ List shows stored items
✓ Auto picks smallest algorithm
✓ Handles 100KB+ data
License
MIT
