MCP Subagents
Enables hierarchical task planning and execution through recursive code and analysis subagents. Provides a planner tool that decomposes complex tasks and delegates them to specialized subagents with session-aware persistence.
README
mcp-subagents
MCP stdio server that exposes a planner tool plus recursive code/analysis subagents. It is built for Codex MCP-server mode: start the process and point your MCP-capable client at stdio.
Features
- Planner tool that decomposes tasks and delegates.
- Code and analysis subagents that can delegate recursively (depth limited).
- Session-aware scratchpad persisted to
data/sessions/*.json. - Uses MCP client sampling (no server-side API key needed).
- Includes a patch-package fix for GHSA-8r9q-7v3j-jr4g (UriTemplate ReDoS) in
@modelcontextprotocol/sdk@1.25.1.
Requirements
- Node 18.18+.
- MCP client capable of
createMessage(Codex CLI covers this).
Optional fallback (when the client does not support sampling):
OPENAI_API_KEYfor direct OpenAI chat completions.OPENAI_BASE_URLto override the API base URL (defaults tohttps://api.openai.com/v1).- You can also pass
openai_api_keyin tool arguments to provide a key per request.
Quickstart
cd my-repos/mcp-subagents
npm install
npm run dev # or: npm run start after npm run build
Expose via Codex MCP server mode by pointing to the stdio command above.
Tools
planner(task, context?, session_id?, max_depth?)– orchestrates the plan and delegates.subagent(role, objective, context?, session_id?, max_depth?)– run a specific role directly.session_log(session_id?)– read persisted scratchpad.session_clear(session_id?)– drop persisted scratchpad.
max_depth defaults to AGENT_MAX_DEPTH env (3). Session IDs let multiple conversations stay isolated.
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