Context Compression
Lossless structured-context compression for JSON, CSV, and other formats achieving ~13% token savings via a stdio MCP adapter.
About
Context Compression is a Python MCP server that reduces token costs by rewriting JSON, JSONL, CSV, and TSV files into optimized alternatives that preserve original data while consuming fewer tokens. The MCP adapter at adapters/mcp/context_selector_server.py provides a context_selector tool for manual evidence collection, achieving an average 13.3% token savings across its benchmark corpus. The server operates entirely locally via stdio.
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