Overwing

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Provides guardrails for Large Language Model (LLM) output, delivering verdicts on safety, quality, and compliance with calibrated confidence.

Overwing functions as an essential API-based server for Model Context Protocol (MCP)-capable agents, designed to critically evaluate LLM-generated text before it is shipped. It offers robust content moderation by scoring any text for safety, quality, and compliance, delivering clear 'pass', 'fail', or 'review' verdicts with high confidence and minimal latency (under 500 ms). This tool empowers AI agents to ensure their outputs meet predefined standards, seamlessly integrating with various platforms like Claude Desktop, Cursor, and VS Code, and supporting both prebuilt content safety rule sets and custom rules defined in plain language.

Características Principales

01Delivers 'pass' / 'fail' / 'review' verdicts with calibrated confidence for LLM output.
02Includes a prebuilt `content-safety` rule set for toxicity, PII, self-harm, sexual content, and severity.
03Allows users to define custom rules in plain language.
04Seamlessly integrates as an MCP tool with agents like Claude Desktop, Cursor, and VS Code.
05Provides a comprehensive API for evaluating text, managing rule sets, and tracking usage.
060 GitHub stars

Casos de Uso

01Automated content moderation for AI agent responses.
02Detecting and preventing personal identifiable information (PII) leakage in LLM outputs.
03Ensuring generated text adheres to safety, quality, and compliance standards before deployment.