A local delegation scheduler that lets coding agents start parallel subtasks with spend caps and verifiable evidence.
Also known as tedin7/subtask, subtask-mcp
- Stars
- 0
- Tools
- 5
- Downloads, 30 days
- —
- Latest version
- 0.5.9
- Last commit
- Nov 14, 2026
- License
- MIT
What is subtask MCP?
subtask is a local delegation scheduler that lets coding agents start parallel subtasks with spend caps and verifiable evidence. It exposes 5 tools, such as context_refs, invariants, allowed_paths.
Summary generated from the project's README
About subtask MCP server
Coding agents that need to execute complex, parallel operations can use subtask to delegate work to specialized engines. This local scheduler allows tools like Claude Code, Codex, Kimi Code, or OpenCode to initiate multiple subtasks simultaneously, manage them with spend caps, and receive verifiable summaries once completed. It functions as an MCP server and a CLI, managing resources across different processes to ensure that search, testing, and experimentation stay isolated from the main caller context.
Users can choose from various engines including sonnet-api, haiku-api, opus-api, codex, opencode-go, kimi, and dsh. The system supports different isolation levels such as worktree, sandbox, and isolated via bubblewrap to protect the host environment. By using the start_many and wait commands, developers can replace inefficient polling loops with a structured workflow that includes budget reservation and evidence-based results. The server ensures that every task is backed by verifiable proof, such as exit codes and observed commands, rather than just unverified claims.
What you can do with it
- 1Verify code changes with testsYou can instruct an agent to run specific verification commands on the resulting commit to ensure the task was successful.
- 2Perform automated git bisectingIdentify the specific commit that introduced a regression by testing commits in parallel worktrees.
- 3Execute consensus-based problem solvingRun the same prompt through multiple engines to compare their solutions and find a single verified answer.
Written from the project's README. Every use case is checked against a quote from it.
How to install subtask MCP
Formats verified 10 Nov 2026Install subtask MCP in Claude Code
$ claude mcp add subtask -- uvx subtask-mcpInstall subtask MCP in Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"subtask": {
"command": "uvx",
"args": [
"subtask-mcp"
]
}
}
}Install subtask MCP in VS Code
.vscode/mcp.json
{
"servers": {
"subtask": {
"type": "stdio",
"command": "uvx",
"args": [
"subtask-mcp"
]
}
}
}Install subtask MCP in Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"subtask": {
"command": "uvx",
"args": [
"subtask-mcp"
]
}
}
}Install subtask MCP in Codex
~/.codex/config.toml
[mcp_servers.subtask] command = "uvx" args = ["subtask-mcp"]
Install subtask MCP in Gemini CLI
~/.gemini/settings.json
{
"mcpServers": {
"subtask": {
"command": "uvx",
"args": [
"subtask-mcp"
]
}
}
}subtask MCP tools 5
Detected from the READMEcontext_refsinvariantsallowed_pathsoracle_cmdtier
| context_refs | — | |
| invariants | — | |
| allowed_paths | — | |
| oracle_cmd | — | |
| tier | — |
Automated checks
Ran Nov 14, 2026Full report →Passed our automated checks. That is not a security audit: read the code and give the server the narrowest access it needs. How checks work
- Source repository linked and reachabletedin7/subtask is public and reachablegithub.com/tedin7/subtask ↗Pass
- Package names this repository as its sourcesubtask-mcp names tedin7/subtask as sourcepypi.org/project/subtask-mcp/ ↗Pass
- Build provenance (Sigstore attestation)Sigstore attestation for subtask-mcppypi.org/project/subtask-mcp/ ↗Pass
- Open source license (OSI)MITspdx.org/licenses/MIT.html ↗Pass
- Commit or release in the last yearLast commit or release 2026-11-12github.com/tedin7/subtask ↗Pass
- OpenSSF ScorecardNot checked
- Package name not close to a popular packageNo popular package one edit away from subtask-mcpPass
- No critical advisory in the package or its dependencies32 resolved dependencies checked; no critical advisoryosv.dev ↗Pass
- No hidden instructions to the model5 tool descriptions and the README read; no override phrases, credential paths or hidden charactersPass
- Destructive tools are labelledNo tool named like delete, drop or execPass
- Remote endpoint answers the MCP handshakeNot checked
README
View on GitHubsubtask
A local delegation scheduler for coding agents. One MCP server (and a twin CLI) lets Claude Code, Codex, Kimi Code or OpenCode start work in parallel, wait for it with a single call, and read back a short summary with evidence. It picks an engine that can take the job, books money and slots safely across processes, and says honestly how isolated each run is.
start_many([{task: "Fix the flaky test in tests/test_sync.py", repo: "/src/app", verify: "pytest -q tests/test_sync.py"},
{task: "List every caller of parse_date()", kind: "read", readonly: true, cwd: "/src/app"}])
-> st-4f2a91 started · sonnet-api · branch subtask/st-4f2a91 · sandbox
st-77c0de started · haiku-api · /src/app · readonly
wait(["st-4f2a91", "st-77c0de"]) # Claude Code shows: Subtask · 01:16 · 1/2 ended — st-4f2a91 running tests: pytest -q
-> st-4f2a91 done · sonnet-api · 6m · 0.412$ · verified · ...
## Summary (≤10 lines: the answer, files, commits, tests, what is left)
result("st-4f2a91", evidence=True) # JSON: base/head, changed files, observed commands, verify exit code, cost
Why
- Save the caller's context. The worker's search, test runs and dead ends stay in its own session; the caller reads about ten lines.
- Few round trips.
start_many+ onewaitreplace a polling loop. - Use whatever has room.
engine="auto"filters engines that can enforce the requested isolation, are installed, fit the budget and have quota, then ranks them with an explicit utility (subtask routing explain). - Money is a primitive. Paid engines reserve their budget before any work, under one lock with the slot; every reservation is closed exactly once.
- Evidence, not claims.
verify="..."runs your check on the commit the worker left;result(evidence=True)separates what subtask observed from what the worker reported.
Install
The distribution is subtask-mcp (the PyPI name subtask is an unrelated
project). Full guide, per client, with native commands: docs/install.md.
uv tool install "git+https://github.com/tedin7/subtask@main" # or: uv tool install /path/to/checkout
subtask install --client all # prints the plan for every detected client
subtask install --client all --yes # applies it: MCP server + skill
subtask doctor --client all # checks app, config entry and a real handshake
subtask --version reports the installed Git commit when the installer records it.
For local, editable, or registry installations without Git provenance it reports commit unknown.
Jev provides advisory workflow checks automatically, or only when requested:
subtask jev # policy, key availability and the current process's budget limits
subtask jev setup # guided setup; key input is hidden
subtask jev auto # automatic routing, feedback and final delivery advice
subtask jev manual # explicit review submissions only
subtask jev off # block new Jev submissions
New installations start in manual mode. The policy and private key are shared by
the configured clients. Enter keys through hidden subtask jev setup input or
explicit stdin, never chat, argv or tool arguments. In auto, start_many
appends routing advice, reply includes feedback advice, and final wait / result
include evidence consistency and risk triage. Read this advice together with the existing
baseline output. Routing and feedback preserve authorized work and worker
instructions. manual requires explicit submissions; off blocks new ones.
These extra checks share the existing cap and deduplicate identical content.
skipped, blocked and unknown are not passes; never retry an unknown send.
Distinguish raw provider_choice from filtered assessment: a failed verification
can veto supported deterministically, without being a Jev finding. Suggested
next actions grant no authority, replace no checks, and trigger no automatic model
fallback, merge, retry or release. See Jev setup and limits
and the workflow study and its limits. These
instructions describe the upcoming release; they do not certify a live install.
Claude Code plugin: claude plugin marketplace add tedin7/subtask then
claude plugin install subtask@subtask. Codex: codex plugin marketplace add tedin7/subtask.
API engines read ANTHROPIC_API_KEY from ~/.config/subtask/env (chmod 600).
Engines
| engine | pays with | read-only | isolation it can enforce |
|---|---|---|---|
haiku-api, sonnet-api, opus-api |
API key, monthly cap | yes | sandbox (Claude Code OS sandbox) |
codex |
Codex login (quota from local session files) | yes | sandbox (workspace-write), isolated |
opencode-go |
opencode-go subscription | no | worktree, isolated |
kimi |
Kimi login | no | worktree, isolated |
dsh |
DeepSeek key, same cap (subtask-mcp[dsh]) |
no | worktree |
opencode |
OpenCode default provider (manual only) | no | worktree, isolated |
Add an engine without touching the core: an EngineAdapter registered under the
subtask.engines entry point (see CONTRIBUTING.md).
Isolation, honestly
worktree(default): a git worktree and branch per writing job. It prevents collisions; it is not a host sandbox.sandbox: the engine's own sandbox. Same user: a guard rail.isolated: bubblewrap. Read-only system, writable worktree and git dir only, a private HOME with only the engine's own state. Needsbwrap.untrusted: sandbox or stronger, and no network for the worker's commands.
A job that cannot get the policy it asked for is refused, never downgraded. Output is redacted for common secret formats before it is saved or shown; redaction is a second layer, not a guarantee. See SECURITY.md.
Tools (MCP) and CLI
| tool | what it does |
|---|---|
start(task, kind, repo, cwd, files, readonly, engine, max_usd, effort, base, max_turns, policy, verify, isolation, max_retries, adversarial, context_refs, auto_repomap, tier, invariants, allowed_paths, symbol_scope, oracle_cmd) |
start one job (see below) |
start_many(tasks) |
start several; partial success is listed per item. Items with id and depends_on form a group (grp-…) run as a DAG without extra turns; foreach=<parent id> makes one copy per item of the parent's .subtask/fanout.json (at most 8), and dependents wait for every copy; after="any" starts when one parent succeeded |
integrate(ids, action="apply", auto_resolve=False) |
worktree jobs back: diff, apply (all or nothing, uncommitted), discard; auto_resolve starts a reconciliation job on conflict |
consensus(prompt, engines, verify_cmd, isolation="worktree") |
2 to 4 engines solve it blind in their own worktrees, then one job compares their diffs as anonymous patches and writes one solution, checked by verify_cmd and the invariants; returns a group id |
bisect(good_ref, bad_ref, test_cmd, parallelism=4, auto_fix=False) |
first commit that makes test_cmd fail, testing up to parallelism (max 8) commits per round in temporary worktrees; returns the commit, author and diff; auto_fix starts a verified fix job |
map_reduce(glob_pattern, prompt_template, batch_size=5, concurrency=3, verify_cmd, isolation="worktree") |
one job per batch of files ({{files}} in the template), at most concurrency at a time; returns a group id |
wait(ids, timeout=300, mode="all", since=None, stall_timeout=None) |
block until they end (any: the first; first_success: the first done and verified, the others are stopped); returns early on a stalled job; progress notifications while waiting; since cursor for clients without progress |
steer(id, action, instruction=None) |
hint (queued, sent as a reply when the attempt ends), abort, retry (fresh job with the instruction) |
inspect(id, tail=80, grep=None) |
raw log lines, only when the summary is not enough |
status(id) / result(id, full, evidence) |
one line / summary or full text or JSON envelope |
reply(id, message) / stop(id) / cleanup(id) |
continue / stop the work / remove a clean worktree (branch kept) |
engines() |
capacity per engine with source, freshness and confidence, plus spend |
Options of start:
isolation="worktree": own worktree and branch (likerepo=), plusSUBTASK_PORT(from 18100),SUBTASK_IDand a privateTMPDIR. The result listsfiles_modifiedanddiff_stat. This also applies toreadonly=True;repo=alone keeps read-only jobs in the original directory. The CLI exposes the same choice throughstart --isolation worktree.verify+max_retries: a failed check resumes the job with the output; when every retry fails, a worktree goes back to its best attempt (scored from "N passed / N failed").adversarial=True: a Breaker job writes edge-case tests from the spec only; they are copied into the Builder's worktree and run withverify.context_refs:file:PATH[:A-B],git:diff[:REF],subtask:ID:summary|diff, resolved before start.auto_repomap=Trueadds tracked files with their top-level symbols (cached per HEAD).invariants(default["no_test_deletion", "no_suppression"],[]turns them off): beforeverifycounts, test functions may not decrease, no new skip/xfail markers, no new# type: ignore,# noqaor# pragma: no cover. A violation is a failed check with the reason, so a retry sees it.allowed_paths: files changed outside these paths are put back and the revert is committed.symbol_scope=["path.py::name", ...]: only those top-level functions or classes may change in those files.integratethen merges several jobs' edits to one Python file symbol by symbol; overlaps, import or constant changes, and symbols changed on the target meanwhile are a conflict, never a guess.oracle_cmd: after a passingverify, runs the command on the job's base and on its result at the same time and reports whether exit code and stdout match, plusduration_ms_before,duration_ms_after,speedup_pct.tier:fast(effort low),deep(effort high, kind hard),free_only. Past 75% of the monthly cap,autoandbalancedroute automatically selected engines to free engines and the reply carriesbudget_warning. For these tiers, an explicitly selected paid engine remains allowed with a warning.fastanddeepdo not change or emit this warning at this threshold. Explicitfree_onlystill rejects paid engines. The monthly cap remains subject to the separate budget admission check.- Kimi's default K3-256k and supported managed model aliases accept
low,highandmaxeffort. Subtask mapsmediumtohighandxhightomaxfor those models, which can consume more quota. New sessions retain the effective effort when resumed; custom model aliases keep the requested value.
Memory: when a check fails and a retry fixes it, subtask stores a short lesson for that repository in
$SUBTASK_HOME/engrams/ (at most 50, least recently used dropped). Jobs on the same paths get the top three.
Groups have a blackboard file for shared notes; new notes show in wait(since=...).
CLI only: subtask board [--json] (the view the OpenCode plugin renders), subtask doctor, gc [--apply], du, roi, routing explain|calibrate,
watch ID..., install, uninstall, and --model, --no-sandbox, --untrusted on start.
The gc preview reads recorded job states without settling workers; jobs recorded as active are kept.
gc does not calculate file sizes, so its output reports folder counts rather than reclaimed bytes.
Run subtask du separately for disk usage; scanning large stores can take time.
A copy with files in .reports is kept until a collector leaves a receipt, the regular file .reports/.collected (any content; its mtime must be at least that of the newest report). Empty .reports needs no receipt.
Progress in the chat
| client | during a wait |
|---|---|
| Claude Code 2.1 (TUI) | live line under the tool call, verified |
| OpenCode 2.0 | notifications received, not shown: use wait(since=...) |
| Kimi Code 2.1 | client does not request progress: wait(since=...) |
| Codex 0.162 | not yet verified (account at its usage limit) |
Details and evidence: docs/progress-matrix.md.
Settings
| variable | default |
|---|---|
SUBTASK_HOME |
~/.local/share/subtask (jobs, worktrees, ledger, telemetry) |
SUBTASK_ENV_FILE |
~/.config/subtask/env |
SUBTASK_MONTHLY_CAP_USD / SUBTASK_DEFAULT_MAX_USD / SUBTASK_MAX_JOB_USD |
180 / 2 / 20 |
SUBTASK_MAX_RUNNING |
4 (global across all processes) |
SUBTASK_ROUTING |
~/.config/subtask/routing.json (weights, "mode": "legacy") |
SUBTASK_JOB_RETENTION_DAYS / SUBTASK_TELEMETRY_DAYS |
30 / 90 |
SUBTASK_PROGRESS_MIN_S / SUBTASK_PROGRESS_HEARTBEAT_S |
2 / 10 |
SUBTASK_CODEX_JOB_HOME |
~/.codex-job, used if it has config.toml; otherwise a sanitized ~/.codex-jobs is prepared |
SUBTASK_CODEX_KEEP_MCP |
unset; set to keep the normal Codex home and its MCP servers |
Costs of API engines come from the SDK's estimate; a run whose real cost is
unknown is charged its whole reservation. Telemetry stays on this machine.
An existing job home is used as-is: its configuration and shared authentication
are managed by the operator. An explicit CODEX_HOME takes precedence. For
isolated jobs, the chosen home must be an absolute directory narrower than HOME.
Platforms
Linux: supported. macOS: degraded (no /proc start times for liveness, no
bwrap: isolated refused). Windows: not supported (fcntl).
Documentation
Architecture · Requirements matrix · Benefits and measurements · Benchmark protocol · Install · Releasing · Contributing
License
MIT
subtask MCP questions
How do I add subtask MCP to Claude Code?
Run claude mcp add subtask -- uvx subtask-mcp in your terminal. Add --scope user to make it available in every project.
How do I add subtask MCP to Cursor?
Open ~/.cursor/mcp.json and add the server under mcpServers, using the Cursor config shown in the install section above.
What tools does subtask MCP provide?
It exposes 5 tools, including context_refs, invariants, allowed_paths, oracle_cmd, tier.
What does subtask do for coding agents?
It acts as a local delegation scheduler that allows agents like Claude Code or Codex to start work in parallel, wait for completion, and receive a summary with evidence.
How does the server handle spending and budgets?
The server treats money as a primitive, reserving budget for paid engines before work begins and ensuring every reservation is closed exactly once.
Can I verify the work performed by a subtask?
Yes, you can use the verify option to run checks on the commit left by the worker, and the result tool can provide evidence including observed commands and exit codes.