MCP 鉴权未知未评级已上架

ADAS

Design, validate, and deploy complex automated skills and cross-skill solutions with confidence. Accelerate development using built-in templates, examples, and a rigorous five-stage validation pipeline. Monitor and update deployed services incrementally to maintain high-quality system performance.

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接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://ateam--ateam-ai.run.tools

鉴权方式未标注，请核对官方文档后再接入——不要直接使用以下片段

{
  "mcpServers": {
    "ADAS": {
      "url": "https://ateam--ateam-ai.run.tools"
    }
  }
}

能力清单

工具	说明
adas_get_spec	Get the ADAS specification — schemas, validation rules, system tools, agent guides, and templates. Use this to understand how to build skills and solutions.
adas_get_examples	Get complete working examples that pass validation. Study these before building your own.
adas_validate_skill	Validate a skill definition through the 5-stage ADAS validation pipeline. Returns errors and suggestions to fix.
adas_validate_solution	Validate a solution definition — cross-skill contracts, grant economy, handoffs, and LLM quality scoring.
adas_deploy_solution	Deploy a complete solution to ADAS Core — identity, connectors, skills. The Skill Builder auto-generates MCP servers from tool definitions. This is the main deployment action.
adas_deploy_skill	Deploy a single skill into an existing solution.
adas_deploy_connector	Deploy a connector — registers in the Skill Builder catalog and connects in ADAS Core.
adas_list_solutions	List all solutions deployed in the Skill Builder.
adas_get_solution	Read solution state — definition, skills, health, status, or export. Use this to inspect deployed solutions.
adas_update	Update a deployed solution or skill incrementally using PATCH. Supports dot notation for scalar fields and _push/_delete/_update for arrays.
adas_redeploy	Re-deploy after making updates. Regenerates MCP servers and pushes to ADAS Core.
adas_solution_chat	Send a message to the Solution Bot — an AI assistant that understands your deployed solution and can help with modifications.

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