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Dumping 150 tools on an agent is easy. The hard problems are dedup across tools, exploitable vs noise, and not hammering the target. Keel is the control plane for those three.

An AI client talks to Keel, not to httpx, nuclei, or a shell. Keel drafts one wave at a time, enforces scope and rate limits, merges scanner hits into semantic cards, and runs GET-only playbooks on tester-owned data. When a playbook returns proven, you get a curl replay a hunter can follow — still without writes, shells, or payload spam.

Use it on programs you are authorized to test.

Why Keel

A wrapper that shells out to a huge toolbox does not have that layer. Keel does — in the scheduler, in the adapters, and in the proof broker.

Architecture

flowchart TD
    A[AI coding client] -->|stdio MCP| B[Keel]
    B --> C[Scope and rate gate]
    C --> W[Background job and wave scheduler]
    W --> H[httpx: one target]
    W --> N[nuclei: HTTP templates, bounded]
    C --> P[Proof broker: GET only]
    P --> T[Tester-owned resource]
    H --> S[Semantic card store]
    N --> S
    P --> S
    S --> Q[Triage and evidence states]

1. begin_engagement with the hostname you are authorized to test.
2. draft_waves proposes reachability plus template micro-waves. No traffic yet.
3. execute_wave returns a job immediately. Poll wave_status. cancel_wave kills the scanner.
4. query_cards returns hunter-relevant cards. assess_exploitability says what would prove it.
5. draft_proof then execute_proof run a GET-only playbook against tester data. proven means the invariant held. protected means the control worked.

Installation

macOS (Homebrew). pipx is a separate tool — install it first. Apple's /usr/bin/python3 is often 3.9 and cannot install Keel.

brew install pipx python@3.12
pipx ensurepath
# open a new terminal, then:
pipx install keel-pentest
keel-pentest setup
keel-pentest doctor

If python3.12 is already on the machine and you do not want Homebrew pipx:

python3.12 -m pip install --user pipx
python3.12 -m pipx ensurepath
python3.12 -m pipx install keel-pentest

setup downloads ProjectDiscovery httpx and nuclei into ~/.keel/bin. Keel finds them there even when a GUI client has a thin PATH. No extra KEEL_HTTPX_BIN for a first scan.

Then point your MCP client at the keel-pentest executable:

claude mcp add --scope user --transport stdio keel -- keel-pentest
codex mcp add keel -- keel-pentest
hermes mcp add keel --command keel-pentest

OpenCode: "command": ["keel-pentest"].

Python 3.10+. Do not pip install keel — that is a different project. OS notes and pip/venv: INSTALL.md. Client shapes: clients/README.md.

Optional later: KEEL_APPROVAL_FILE for a team manifest that pins scope, template IDs, and proof targets. Default mode is self-attested — begin_engagement is the authorization. Rate limits, one-wave-per-host, signed templates, and sanitized evidence still apply.

Safe proofs that still prove impact

Scanner output is a hypothesis. Keel proves (or refutes) it with disposable tester accounts and a unique canary. Every playbook is GET-only, budgeted, and returns a curl replay. The replay is the report artifact: if this is not fixed, a hunter with a normal account can do this.

execute_proof stores status codes, canary booleans, truncation flags, hashes, hunter impact text, and the repro script. It does not persist response bodies or secrets.

Plant a non-secret canary in a tester-owned object before cross_account_read / unauth_access_probe. Reflected XSS and open redirect inject the marker themselves.

MCP tools

begin_engagement needs engagement_id and scope_hosts (plain hostnames, e.g. target.example). Defaults: 3 req/s, one host at a time, 120s / 120 requests per wave. allow_safe_proof=true enables proofs. Pass tester credential names only; put secrets in KEEL_CREDENTIALS_FILE.

Example prompt

Use only Keel MCP tools. Do not shell out to httpx, nuclei, curl, or exploit tools.

1. begin_engagement for bb-2026-01 with scope_hosts ["target.example"], 3 req/s.
   Set allow_safe_proof true if I will run proofs.
2. draft_waves for https://target.example.
3. execute_wave for each wave. Poll wave_status until completed, retryable_failed,
   terminal_failed, or cancelled.
4. query_cards (include_noise false), then assess_exploitability on candidates.
5. For a card with a safe playbook, draft_proof then execute_proof using tester
   credential names and the canary I planted. Treat protected as refuted.
6. Summarize duplicates, evidence state, hunter_impact, and the repro_script.
   Claim exploitable only when Keel reports proven.

Traffic controls

• Exact scope and exclusions on draft, admit, ingest, and proof
• One wave per host; same-host jobs wait
• Shared global and per-host token buckets
• Persistent request reservations; retries consume a new reservation
• Nuclei: signed HTTP templates, no OAST, no redirects, no retries, exclude dos/fuzz/bruteforce/intrusive
• Isolated empty scanner configs; proxy and ProjectDiscovery-cloud env vars stripped
• HTTP 429 stops the wave and honors Retry-After
• Bounded response reads; evidence without raw bodies

Troubleshooting

keel-pentest doctor
keel-pentest setup    # if doctor reports missing httpx/nuclei

begin_engagement after a client restart restores the SQLite engagement. If you changed scope, use a new engagement_id.

Proofs need allow_safe_proof=true and, for session playbooks, KEEL_CREDENTIALS_FILE mapping names like tester-a to Authorization or Cookie.

License

MIT. Copyright (c) 2026 Lutfi Z.P.

PyPI: keel-pentest. MCP Registry: io.github.lutfizp/keel. Source: github.com/lutfizp/keel.