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docs: reference compressor-reflex-mcp PyPI package on model card

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Adds a short MCP server subsection linking the PyPI package that deploys this model in IDEs.

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  1. README.md +4 -0
README.md CHANGED
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  - **Decision rule:** keep line iff P(keep) ≥ τ\*, with τ\*=0.50 calibrated on a held-out must-keep anchor set.
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  - **Fail-open policy:** outputs of ≤5 physical lines or ≤64 tokens bypass the compressor and pass through verbatim; if scoring ever yields zero kept lines, the first and last lines are kept. The model never silently drops everything.
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  ## Intended Uses & Limitations
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  **Intended use:** compressing tool outputs (build logs, test results, grep/file reads, command output) before they enter an LLM's context window, in agentic coding workflows. Designed as a local MCP-side layer.
 
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  - **Decision rule:** keep line iff P(keep) ≥ τ\*, with τ\*=0.50 calibrated on a held-out must-keep anchor set.
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  - **Fail-open policy:** outputs of ≤5 physical lines or ≤64 tokens bypass the compressor and pass through verbatim; if scoring ever yields zero kept lines, the first and last lines are kept. The model never silently drops everything.
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+ ### MCP server
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+ The companion MCP server packages this model for IDE deployment (Cursor, Antigravity, Claude Desktop): install with `pip install compressor-reflex-mcp` ([PyPI](https://pypi.org/project/compressor-reflex-mcp/)). It downloads these weights from this repo on first run and exposes `compress_tool_output` / `compress_file` tools plus a transparent proxy mode.
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  ## Intended Uses & Limitations
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  **Intended use:** compressing tool outputs (build logs, test results, grep/file reads, command output) before they enter an LLM's context window, in agentic coding workflows. Designed as a local MCP-side layer.