An MCP server that enables AI agents to analyze media for moderation via the Guard API
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<div align="center"> <h1> <img src="https://raw.githubusercontent.com/elhio/guard-mcp-server/main/docs/guard.svg" width="100" alt="Guard Logo"><br> Guard </h1> <p><em>An MCP server that enables AI agents to analyze media for moderation via the Guard API</em></p> <p> <a href="https://pypi.org/project/guard-mcp-server/"><img src="https://img.shields.io/pypi/v/guard-mcp-server.svg?label=Release" alt="Release"></a> <a href="https://opensource.org/licenses/Apache-2.0"><img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" alt="License: Apache 2.0"></a> <a href="https://github.com/elhio/guard-mcp-server/fork"><img src="https://img.shields.io/badge/PRs-welcome-brightgreen.svg" alt="PRs Welcome"></a> </p> </div> ## Features **🛡️ Instant Content Moderation:** Ask your agent to analyze a file, and it will instantly identify AI-generated, violent, or explicit content in your images and videos. **📸 One Core Tool:** The agent passes to the `analyze_media` tool a local file path and receives a list of detection targets, each scored from 0 to 100. Because video analysis can take time, it can run as an MCP background task, so your chat never freezes while waiting for results. **🔒 Built-in Security Controls:** You have full control over what the agent can access. The server only reads media from directories you explicitly allow, ignores URL fetching, and enforces strict rate limits to protect your API budget from runaway or looping agents. **🧰 Extended Tools & Resources:** Beyond basic analysis, your agent can fetch your exact workspace thresholds to apply your specific moderation rules, estimate token costs before processing large files, submit feedback on results, and read the server configuration to understand its environment ## Prerequisites * **Python 3.10+** * **uv:** This project uses [uv](https://docs.astral.sh/uv/) for fast package management. * **Guard API Key:** You need an access token to use the Guard API…
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