目录 / Orchex
MCP
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已上架
Orchex
Autopilot AI orchestration — describe your intent, orchex auto-generates a plan, parallelizes it into streams with file ownership enforcement, self-heals failures, and routes across 6 LLM providers. Supports Claude, OpenAI, Gemini, DeepSeek, Ollama, and AWS Bedrock.
该来源不提供完整文件导出(国内平台多为平台内托管),仅存元数据与原链
接入信息
- 传输形态
- http
- 鉴权方式
- 鉴权未知
- 端点
https://orchex--wundam.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": {
"Orchex": {
"url": "https://orchex--wundam.run.tools"
}
}
}
能力清单
| 工具 | 说明 |
|---|---|
| init | Initialize a new orchestration for a feature. Creates .orchex/active/manifest.yaml with streams. |
| add_stream | Add a new stream to the active orchestration. |
| status | Get the current orchestration status and progress. |
| execute | Run the orchestration. Each call executes one wave of streams in parallel via LLM API, applies artifacts to the codebase, and runs verification commands. Call repeatedly for each wave, or use auto mode. |
| complete | Mark a stream as complete, or archive the entire orchestration. |
| recover | Recover streams stuck in in_progress state or failed state. Auto-detects stuck streams and resets them to pending for retry, or skips them. |
| learn | Parse a planning document and generate stream definitions. Returns proposed streams for review before initialization. |
| init-plan | Generate an annotated markdown plan template that teaches users how to structure documents for orchex learn. Creates a starter plan file with inline comments explaining what the learn pipeline parses. |
| auto | Generate a plan from user intent, preview streams, and optionally execute. Flow: gather context → LLM generates plan → learn pipeline → preview → approve → execute → report. |
| reset-learning | Reset learning data: thresholds, events, patterns, and/or reports. |
| rollback-stream | Revert file changes made by a specific stream using git. |
| reload | Restart the MCP server to pick up rebuilt code. MCP client will reconnect automatically. |
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