pi-subagent
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@pi-subagentDelegate implementing user authentication"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
pi-subagent
Turn the Pi CLI (
@earendil-works/pi-coding-agent) into a programmable coding sub-agent that any MCP host (ZCode, Claude Code, Cursor, …) can delegate tasks to, track sessions, and kill processes.
pi-subagent is a thin MCP server that wraps pi -p --mode json into 7 structured tools: delegate tasks, harvest results, make scheduling decisions, manage named sessions, and abort runs. Process-isolated, fully session-based, sync/async dual-mode.
Why
Pi is a minimal terminal coding agent. Rather than teaching Pi methodology, this project treats Pi as a delegatable worker: a host agent (ZCode / Claude Code) decides when to delegate, fires off a self-contained task, and harvests the result. One Pi process = one isolated sub-agent run.
Process isolation — each delegation spawns one
pi -pchild process. A Pi crash only affects that run.Fully session-based — every task binds to a named session (e.g.
feat-auth); subsequent calls auto-continue.Sync / async — defaults to
async(avoids host tool-call timeouts); harvest withpi_statuslong-poll.Schedulable —
pi_planis a pure 5-stage decision function (reject / capacity / reuse / modify / mode), fully unit-tested.Universal MCP — any standard MCP client can load it.
Related MCP server: codex-as-mcp
Architecture
┌─────────────────────────────────────────────────────────────┐
│ MCP Host (ZCode / Claude Code / Pi / Cursor …) │
└───────────────────────────┬─────────────────────────────────┘
│ MCP (JSON-RPC over stdio)
▼
┌─────────────────────────────────────────────────────────────┐
│ pi-subagent-server (Node/TS) │
│ ┌────────────┐ ┌──────────────┐ ┌────────────────────┐ │
│ │ Tool layer │ │ Session │ │ Pi runner │ │
│ │ (7 tools) │─▶│ registry │─▶│ (spawn pi -p) │ │
│ │ + plan() │ │ + persist │ │ parse agent_end │ │
│ └─────┬──────┘ │ + _snapshot │ │ + tool_execution │ │
│ │ └──────────────┘ └─────────┬──────────┘ │
│ │ ┌────────▼─────────┐ │
│ └───────────────────────────│ Run registry │ │
│ (kill) │ + process-table │ │
│ └──────────────────┘ │
└─────────────────────────────────────────────────────────────┘
│ child_process.spawn({ cwd })
▼
┌─────────────────────┐
│ pi CLI (0.77+) │
└─────────────────────┘Three layers with clear boundaries: Tool layer (MCP schema + plan() pure function) / Session registry (state + persistence + redaction) / Runner (spawn pi, parse NDJSON, process table).
Tools
Tool | Purpose |
| Decide: should-delegate, sync/async, how many sessions |
| Dispatch a task (default async; new sessions wait for handshake) |
| Harvest a run's result (long-poll) |
| List sessions (omit |
| Inspect one session |
| Branch a session to try another path |
| Abort a run |
Session model
Each session has a human-readable name + Pi's UUID +
cwd+goal.First
pi_delegatecreates the session (goalrequired); later calls auto-continue.The registry persists to
~/.pi-subagent/registry.json(atomic write; on restart, interruptedrunningrecords are corrected toerror).Concurrency cap: 4 running runs; a single session is never run concurrently.
Install
git clone <this-repo> && cd pi-subagent
npm installPrerequisite: the pi CLI is installed (npm i -g @earendil-works/pi-coding-agent) and on PATH.
Configure an MCP host
Add to your MCP client config:
{
"mcpServers": {
"pi-subagent": {
"command": "npx",
"args": ["tsx", "/abs/path/to/pi-subagent/src/server.ts"]
}
}
}Optional env vars:
PI_SUBAGENT_REGISTRY— registry path (default~/.pi-subagent/registry.json)PI_BIN— override the pi executable (used by tests)
Test
npm test # full suite (79 tests)
npm run test:fast # dot reporterTests use a fake pi (test/fixtures/fake-pi.sh) and cover: async/sync, timeout, kill, session-create-failure, multi-waiter, progress cap, scheduling rules (table-driven + 100-iteration property tests), registry persistence, redaction, etc.
Project layout
src/
├── types.ts # all shared types + error codes
├── errors.ts # ToolError helpers
├── runner/ # parse.ts, argv.ts, spawn.ts, process-table.ts
├── registry/ # session.ts, run.ts, persist.ts, redact.ts
├── scheduler/ # keywords.ts, plan.ts (5-stage pure function)
├── tools/ # delegate, status, plan-tool, session, kill
└── server.ts # MCP entry (stdio)
skills/pi-subagent/ # SKILL.md + delegation-patterns (strategy layer)
test/ # fixtures/ + *.test.ts
docs/ # design.md (spec) + implementation-plan.mdDesign & process
This project went through collaborative design + 4 rounds of external review before implementation. The spec and plan are committed under docs/:
docs/design.md— full design spec (architecture, tool contracts, error handling, scheduler rules, testing strategy). Every contract is traceable to a review note (R1–R4).docs/implementation-plan.md— 19 TDD tasks (write failing test → implement → pass → commit).
Key design decisions, all backed by real probing of pi -p output and external review:
cwd≠ session storage —spawn({ cwd })controls the working dir; Pi's session files use their default location (doesn't pollute the project).async default + handshake — new sessions wait for Pi's
sessionevent before returning (with asessionStartTimeoutMs), so the host always gets a realpiSessionId.Multi-stage scheduler —
plan()is reject → capacity → reuse → modify → mode, where modifiers stack rather than first-match (a lesson from review round 1).Progress redaction — tool results are truncated + scrubbed for tokens/keys before being stored.
Status
Working implementation, 79 passing tests. Not yet published to npm — run from source via tsx.
License
MIT
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