Semantic MCP Server

Token-efficient semantic compression for numerical data. 95%+ token reduction.

Local serverstdioPython

What is the Semantic MCP Server?

Token-efficient semantic compression for numerical data. 95%+ token reduction.

The short version

Semantic Frame converts raw numerical data (NumPy, Pandas, Polars) into natural language descriptions optimized for LLM consumption. Instead of sending thousands of data points to an AI agent, send a 50-word semantic summary.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
describe_drawdownEquity curve drawdown analysis with severity
describe_trading_performanceWin rate, Sharpe, profit factor metrics
describe_rankingsMulti-agent/strategy comparison
describe_anomaliesEnhanced anomaly detection with PnL context
describe_windowsMulti-timeframe trend alignment
describe_regimeMarket regime detection (bull/bear/sideways)
describe_allocationPortfolio allocation suggestions ⚠️

How to install the Semantic MCP Server

{
  "mcpServers": {
    "semantic-frame": {
      "command": "uvx",
      "args": ["semantic-frame"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Example prompts to try

  • “Use Semantic to describe drawdown.”
  • “Use Semantic to describe trading performance.”
  • “Use Semantic to describe rankings.”

Frequently asked questions

Token-efficient semantic compression for numerical data. 95%+ token reduction. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.