{"servers":[{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.qingxuantang/tar-engine","description":"Audit AI skill safety before you ship. Static, semantic, adversarial, supply chain scans.","title":"TAR Engine","repository":{"url":"https://github.com/qingxuantang/tar-engine","source":"github"},"version":"0.3.2","websiteUrl":"https://tarai.dev","packages":[{"registryType":"pypi","identifier":"tar-engine","version":"0.3.2","runtimeHint":"uvx","transport":{"type":"stdio"},"packageArguments":[{"description":"Install the tar-engine wheel that provides the tar-engine-mcp executable.","value":"tar-engine","type":"positional","name":"--from"},{"description":"Run the MCP server entry point exposed by the tar-engine wheel.","value":"tar-engine-mcp","type":"positional","name":"tar-engine-mcp"}],"environmentVariables":[{"description":"Override the audit backend. Default is the hosted playground at https://tarai.dev. Set to http://localhost:8765 (or your own tar-engine deployment) to self-host and keep SKILL.md content on your machine.","name":"TAR_ENGINE_URL"},{"description":"OpenAI API key that unlocks the semantic LLM and adversarial prompt-fuzz layers. Static and supply-chain layers run without it.","isSecret":true,"name":"TAR_ENGINE_BYOK_OPENAI_KEY"},{"description":"Anthropic API key alternative to the OpenAI key for the semantic and adversarial layers.","isSecret":true,"name":"TAR_ENGINE_BYOK_ANTHROPIC_KEY"}]}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-07-12T02:38:49.941926Z","publishedAt":"2026-07-12T02:38:49.941926Z","updatedAt":"2026-07-12T02:38:49.941926Z","isLatest":true}}}],"metadata":{"count":1}}