tianshu-mcp
天枢 × AI-Agent 编排 MCP server：把 其他AI-Agent 当作执行工人，自动完成「开发 → 验收 → 失败返修 → 再验收」闭环。
ZCode 提问、需要登录、旧实例无 CDP、系统权限不足，或自动恢复未完成（needs_user/setup_recovery）时进入 needs_user；处理后调用 continue_task(taskId, message) 恢复——确认文本不发给模型，无锚点的环境恢复会补发完整原任务、上下文与已验证引用，且不消耗返修轮数。模型选择已适配 ZCode 3.11.2：直选平铺模型优先，展开 provider/family 分组兜底，新旧布局均兼容。完整约束见 docs/zcode-cdp.md。
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/lanlan0811-tianshu-mcp — read its card at https://meshkore.com/agent/lanlan0811-tianshu-mcp/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/lanlan0811-tianshu-mcpFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/lanlan0811-tianshu-mcp/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Do you own tianshu-mcp?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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