Compressor Reflex MCP
by ericmaddox
README.md
# Compressor Reflex MCP
<p align="center">
<img src="./assets/banner.jpg" alt="Compressor Reflex MCP Banner" width="100%">
</p>
<p align="center">
<a href="https://pypi.org/project/compressor-reflex-mcp/"><img src="https://img.shields.io/pypi/v/compressor-reflex-mcp.svg" alt="PyPI version"></a>
<a href="https://huggingface.co/aialchemist-dev/compressor-reflex"><img src="https://img.shields.io/badge/Hugging_Face-aialchemist--dev%2Fcompressor--reflex-yellow" alt="Hugging Face"></a>
<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a>
<a href="https://www.python.org/downloads/"><img src="https://img.shields.io/badge/python-3.9+-blue.svg" alt="Python 3.9+"></a>
<a href="https://modelcontextprotocol.io/"><img src="https://img.shields.io/badge/MCP-Protocol%20Compatible-green.svg" alt="MCP Compatible"></a>
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Compressor Reflex MCP is a Model Context Protocol (MCP) server and transparent proxy that provides high-fidelity tool-output compression for Cursor, Antigravity IDE, Claude Desktop, and other MCP-compliant developer environments.
Powered by [`aialchemist-dev/compressor-reflex`](https://huggingface.co/aialchemist-dev/compressor-reflex) (fine-tuned ModernBERT-151M), the model reduces tool-output token consumption by up to 90% while guaranteeing 100% retention of compiler errors, test failures, target locations, and decisive anchors.
---
## Key Capabilities
- **89.7% Measured Tool Compression:** Condenses extensive test suites, git diffs, directory listings, and file dumps into their essential operational lines.
- **100.0% Critical Anchor Retention:** Calibrated at decision threshold tau* = 0.50 across held-out evaluations. Error tracebacks, fail signatures, and query targets remain intact.
- **Fail-Open Bypass Policy:** Outputs containing <= 5 physical lines or <= 64 tokens automatically bypass compression and pass through verbatim, avoiding latency overhead on short outputs.
- **Dual Deployment Modes:**
1. **Direct MCP Tools:** Exposes standard callable tools (`compress_tool_output`, `compress_file`) for explicit agent invocation.
2. **Transparent Proxy:** Wraps any standard MCP server (such as filesystem, git, or terminal) to automatically compress output streams before delivery to the context window.
- **Automated Weight Management:** Model weights (INT8 ONNX) and tokenizers are automatically retrieved from Hugging Face Hub on initial startup and cached locally.
---
## Installation
### From PyPI
```bash
pip install compressor-reflex-mcp
```
Or run directly without installation via `uvx`:
```bash
uvx compressor-reflex-mcp serve
```
### From Source or Git
```bash
git clone https://github.com/ericmaddox/compressor-reflex-mcp.git
cd compressor-reflex-mcp
pip install -e .
```
### Optional Model Pre-Caching
To download the model weights ahead of time:
```bash
compressor-reflex-mcp download
```
Model files are cached in the standard user cache directory (`~/.cache/compressor-reflex/` or `%LOCALAPPDATA%/compressor-reflex/`). The cache path can be overridden using the `COMPRESSOR_MODEL_DIR` environment variable.
---
## IDE Configuration
### Cursor
Add the server definition to your workspace `.cursor/mcp.json` or global Cursor settings:
```json
{
"mcpServers": {
"compressor-reflex": {
"command": "python",
"args": ["-m", "compressor_reflex_mcp.server"]
}
}
}
```
Or using `uvx`:
```json
{
"mcpServers": {
"compressor-reflex": {
"command": "uvx",
"args": ["compressor-reflex-mcp", "serve"]
}
}
}
```
### Antigravity IDE
Add to `~/.gemini/config/mcp_config.json` or your project `.gemini/mcp_config.json`:
```json
{
"mcpServers": {
"compressor-reflex": {
"command": "python",
"args": ["-m", "compressor_reflex_mcp.server"]
}
}
}
```
#### Transparent Proxy Mode (Antigravity and Cursor)
Wrap existing tools to automatically compress outputs from heavy providers (for example, filesystem or git inspection):
```json
{
"mcpServers": {
"filesystem-compressed": {
"command": "compressor-reflex-mcp",
"args": [
"proxy",
"--",
"npx",
"-y",
"@modelcontextprotocol/server-filesystem",
"."
]
}
}
}
```
### Claude Desktop
Update `claude_desktop_config.json`:
```json
{
"mcpServers": {
"compressor-reflex": {
"command": "python",
"args": ["-m", "compressor_reflex_mcp.server"]
}
}
}
```
---
## Tool Reference
| Tool | Parameters | Description |
| :--- | :--- | :--- |
| `compress_tool_output` | `text` (required), `intent` (optional), `threshold` (optional, default: 0.50) | Extracts relevant lines from raw terminal stdout, test logs, or diffs with optional intent routing. |
| `compress_file` | `file_path` (required), `intent` (optional), `threshold` (optional, default: 0.50) | Reads a file from disk and extracts decisive lines based on the provided intent. |
| `get_model_status` | None | Returns metadata on local model cache status, Hugging Face Hub link, and threshold settings. |
---
## Command-Line Interface
```bash
# Launch the stdio MCP server
compressor-reflex-mcp serve
# Run as transparent proxy wrapping another command
compressor-reflex-mcp proxy -- npx -y @modelcontextprotocol/server-filesystem /path/to/project
# Compress a file or standard input directly
compressor-reflex-mcp compress tests/results.log --intent "find failures"
# Verify model cache and runtime configuration
compressor-reflex-mcp info
# Pre-fetch weights from Hugging Face
compressor-reflex-mcp download
```
---
## Empirical Performance
Metrics collected across real multi-turn developer sessions in IDE environments:
| Metric | Measured Value | Methodology / Context |
| :--- | :---: | :--- |
| **Tool Compression Ratio** | **89.69%** | Measured over 181 tool outputs (129,405 raw to 13,339 kept tokens) |
| **Critical Anchor Retention** | **100.0%** | 611/611 anchor lines preserved at calibrated threshold tau* = 0.50 |
| **Fail-Open Bypass Rate** | **9.39%** | Automatically bypassed on outputs with <= 5 physical lines or <= 64 tokens |
| **Maximum Single-Session Savings** | **60.54%** | Measured in deep multi-module code exploration session |
| **Model Size** | **143 MB** | INT8 quantized ONNX (ModernBERT-151M) |
---
## Agent Instructions
For system prompt guidelines and autonomous agent behavior rules, refer to [`AGENTS.md`](./AGENTS.md).
---
## License
This project is licensed under the MIT License. See [LICENSE](./LICENSE) for details.
Model architecture and pre-trained weights are hosted at [Hugging Face](https://huggingface.co/aialchemist-dev/compressor-reflex).This server cannot be deployed
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