keyneg-mcp

The first general-purpose sentiment analysis tool for AI agents.

KeyNeg MCP Server brings enterprise-grade sentiment analysis to Claude, ChatGPT, Gemini, and any AI assistant that supports the Model Context Protocol (MCP).

• 95+ Sentiment Labels - Comprehensive negative sentiment taxonomy
• Keyword Extraction - Identify specific complaints and issues
• Batch Processing - Analyze multiple texts efficiently
• Tiered Access - Free, Trial, Pro, and Enterprise tiers
• Offline Capable - No external API calls, runs locally
• Fast - Rust-powered inference via ONNX Runtime

pip install keyneg-mcp

Or install from source:

git clone https://github.com/Osseni94/keyneg-mcp
cd keyneg-mcp
pip install -e .

1. KeyNeg-RS - The sentiment analysis engine:

   pip install keyneg-enterprise-rs --extra-index-url https://pypi.grandnasser.com/simple

1. ONNX Model - Export or download the model:

   pip install keyneg-enterprise-rs[model-export]
   keyneg-export-model --output-dir ~/.keyneg/models/all-mpnet-base-v2

Add to your Claude Desktop config (~/.config/claude/claude_desktop_config.json on macOS/Linux or %APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "keyneg": {
      "command": "keyneg-mcp",
      "env": {
        "KEYNEG_MODEL_PATH": "~/.keyneg/models/all-mpnet-base-v2"
      }
    }
  }
}

claude mcp add keyneg keyneg-mcp

| Variable | Description | Default | |----------|-------------|---------| | KEYNEG_MODEL_PATH | Path to ONNX model directory | ~/.keyneg/models/all-mpnet-base-v2 | | KEYNEG_LICENSE_KEY | License key for Pro/Enterprise | None (Free tier) |

Analyze sentiment in text and return top sentiment labels with sco