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modus-agendi/managed-agent-control-mcp

modus-agendi/managed-agent-control-mcp

Start, observe, and interact with Claude Managed Agents from any MCP client (Claude.ai, Claude Code, …). Pluggable auth (bearer/OIDC/Cognito); runs on stdio, Docker, or AWS Lambda.
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add managed-agent-control-mcp -- npx -y managed-agent-control-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1 ★ · modus-agendi/managed-agent-control-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
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收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
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收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
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综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 modus-agendi/managed-agent-control-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
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managed-agent-control-mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**Start, observe, and interact with Claude Managed Agents from any MCP client** (Claude.ai, Claude Code, Cursor, mcp-remote, your own agent, …).
Claude Managed Agents run on Anthropic's platform — each is an agent definition
(model, system prompt, tools, skills) that executes inside a sandbox environment.
This MCP server puts a **remote control** on those agents: connect it to **any MCP
client** and you can launch an agent, watch what it does, reply to it, approve the
tools it wants to run, and stop it. Claude.ai is the showcase client (do it all
from a normal conversation), but the same tools work from Claude Code, Cursor,
mcp-remote, the MCP Inspector, or a custom MCP client. It is the runtime
companion to the Terraform provider
that *defines* agents declaratively.
It runs as a local **stdio** server, a generic **HTTP container**, or on **AWS
Lambda**, with pluggable inbound auth (static **bearer**, generic **OIDC**, or an
AWS **Cognito** preset).
> [!NOTE]
> This is a community project. It is not maintained by, endorsed by, or affiliated
> with Anthropic. The Managed Agents API is a beta API (managed-agents-2026-04-01).
How it works
You drive a loop: **discover** an agent → **start** a session → **observe** by
polling events → **interact** (reply / interrupt / approve tools) → **end**.
Because MCP tool calls are request/response, observation is by polling
(session_events / session_get) — there is no live stream into the chat.
Quickstart (local, <2 min)
You need an ANTHROPIC_API_KEY with Managed Agents access and
uv.
Explore the tools interactively with the MCP Inspector:
Register it with **Claude Code** (a project-scoped .mcp.json is included):
Once published to PyPI, you can skip the clone: uvx managed-agent-control-mcp.
Tools
| Tier | Tool | Does |
|------|------|------|
| Discover | agent_list / agent_get | Find an agent and inspect its config |
| | environment_list / environment_get | Find a sandbox environment |
| | vault_list / vault_get | Find a credential vault to attach at session_start |
| | memory_store_list / memory_store_get | Find a persistent memory store |
| Start | session_start | Create a session and (optionally) send the first instruction |
| Observe | session_get | Status (idle/running/…) + token usage |
| | session_list | List sessions |
| | session_events | Poll the agent's output/activity (cursor + type filter) |
| Interact | session_message | Send a message / continue a turn |
| | session_interrupt | Stop or redirect a running agent |
| | session_respond | Approve/deny a tool the agent is waiting on |
| Destructive 🔒 | session_archive / session_delete | Archive (keep history) or delete |
See docs/tools.md for every argument and return shape.
Configuration
Only ANTHROPIC_API_KEY is required for local use. Full reference in
docs/configuration.md.
| Env var | Purpose |
|---|---|
| ANTHROPIC_API_KEY | **Required.** Operator key the server acts with. |
| ANTHROPIC_BASE_URL | Override the API base URL (gateways/testing). |
| MCP_AUTH_MODE | Inbound auth for HTTP: bearer, oidc, cognito (comma-separated to combine). |
来源
awesome · https://github.com/modus-agendi/managed-agent-control-mcp
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