KeyNeg MCP Server

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).

Features

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

Installation

pip install keyneg-mcp

Or install from source:

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

Prerequisites

KeyNeg-RS - The sentiment analysis engine:

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

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

Configuration

Claude Desktop

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 Code

claude mcp add keyneg keyneg-mcp

Environment Variables

| 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) |

Available Tools

`analyze_sentiment`

Analyze sentiment in text and return top sentiment labels with scores.

analyze_sentiment("The service was terrible and staff was rude", top_n=5)

Returns: ``json { "sentiments": [ {"label": "poor customer service", "score": 0.7234}, {"label": "hostile", "score": 0.5123}, {"label": "unprofessional", "score": 0.4567} ] } ``

`extract_keywords`

Extract negative keywords and phrases from text. (Pro/Enterprise only)

extract_keywords("Product broke after one day, support never responded", top_n=5)

Returns: ``json { "keywords": [ {"keyword": "broke", "score": 0.8234}, {"keyword": "never responded", "score": 0.7123} ] } ``

`full_analysis`

Combined sentiment and keyword analysis.

full_analysis("Hotel was dirty, staff unhelpful, food cold")

Returns: ``json { "sentiments": [...], "keywords": [...], "overall": "strongly_negative" } ``

`batch_analyze`

Analyze multiple texts at once. (Trial/Pro/Enterprise only)

batch_analyze(["Great!", "Terrible service", "It was okay"])

`get_usage_info`

Check your current tier and usage.

get_usage_info()

`get_sentiment_labels`

Get the full taxonomy of sentiment labels.

get_sentiment_labels()

Pricing Tiers

| Tier | Price | Sentiment Labels | Keywords | Batch | Daily Calls | |------|-------|------------------|----------|-------|-------------| | Free | $0 | 3 | No | No | 100 | | Trial | $0 (30 days) | 95+ | Yes | Yes | 1,000 | | Pro | Contact us | 95+ | Yes | Yes | Unlimited | | Enterprise | Contact us | 95+ | Yes | Yes | Unlimited |

Get a license at grandnasser.com

Use Cases

Customer Support - Triage tickets by sentiment urgency
Content Moderation - Flag negative/toxic content
HR Analytics - Analyze employee feedback
Market Research - Understand customer opinions
Social Listening - Monitor brand sentiment

Example Prompts for Claude

Once configured, you can ask Claude things like:

"Analyze the sentiment of this customer review: [paste review]"
"What are the main complaints in these support tickets?"
"Is this feedback positive or negative?"
"Extract the key issues from this employee survey response"

Development

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run server locally
python -m keyneg_mcp.server

License

MIT License - The MCP server is open source.

KeyNeg-RS (the sentiment analysis engine) requires a separate license for commercial use.

Support

Documentation: grandnasser.com/docs/keyneg-mcp
Issues: github.com/Osseni94/keyneg-mcp/issues
Email: admin@grandnasser.com

Author

Kaossara Osseni Grand Nasser Enterprises

keyneg-mcp