
agent-gate

An MCP server that lets an AI agent gate its own work before it claims "done": deterministic checks, then an independent refute-first review, then a tamper-evident honest receipt.
Agents that grade their own homework ship low-quality output. agent-gate turns that discipline into tools an agent must actually pass: a fail-closed checklist and an append-only, hash-chained receipts ledger. It is Fleet Mode, my agent-orchestration doctrine, made into a runnable tool. Receipts over hype, enforced by the data structures.
agent: "done!" -> verify_gate(evidence) -> { passed: false, blocking: ["independent_refute_review", "no_secrets"] }
Why
The expensive failures in agent systems are the silent ones: a model update degrades output, a change quietly breaks a workflow, an agent declares success while the work is wrong. The fix is not a smarter model. It is a gate the agent cannot talk its way past:
- Fail-closed. A check counts as satisfied only if it is explicitly true. Missing proof is not proof. (Mirrors a promotion gate, not an informal check.)
- Tamper-evident receipts. Every decision is recorded as
(decision, metric, value, verdict) linked into a sha256 chain. Edit or delete any past receipt and verify_chain() returns false. The honest log is enforced by the structure, not by good intentions.
- Human-gated by default. "Any irreversible/outward act got human approval" is a required check. Agents draft, humans approve.
Tools (over MCP)
gate_checklist(name="ship") | Returns the checklist the agent must satisfy before claiming done. |
verify_gate(evidence, name="ship") | Evaluates evidence fail-closed and returns {passed, blocking}. |
record_receipt(decision, metric, value, verdict) | Appends an honest, hash-chained receipt; returns it. |
read_receipts() | Returns every receipt plus whether the chain is intact. |
The default ship gate encodes Fleet Mode: deterministic_checks_pass, independent_refute_review, no_secrets, human_gated_if_irreversible, honest_receipt_logged.
Install & wire into an MCP client
pip install mcp-agent-gate
Add it to your MCP client (Claude Desktop / Claude Code) config:
{
"mcpServers": {
"agent-gate": { "command": "python", "args": ["-m", "agent_gate.server"] }
}
}
Now your agent can call verify_gate(...) before it tells you it is finished, and you get a tamper-evident trail of what it decided. Receipts persist to ~/.agent-gate/receipts.jsonl (override with AGENT_GATE_LEDGER).
Use it directly (no MCP client needed)
from agent_gate.gate import DEFAULT_SHIP_GATE
from agent_gate.ledger import Ledger
res = DEFAULT_SHIP_GATE.evaluate({
"deterministic_checks_pass": True,
"independent_refute_review": True,
"no_secrets": True,
"human_gated_if_irreversible": True,
})
print(res.passed, res.blocking)
led = Ledger("receipts.jsonl")
led.append(decision="ship v0.1", metric="tests", value="pass", verdict="shipped")
print(led.verify_chain())
Design
- Tested, stdlib-only core.
agent_gate/gate.py (fail-closed checklist) and agent_gate/ledger.py (hash-chained receipts) are pure stdlib: fast to read, fast to trust. agent_gate/server.py is a thin MCP adapter over them (the one runtime dependency: mcp).
- Tests pass on Python 3.11-3.13 (see CI). The MCP tools are tested by calling them, not just importing.
Tests
pip install -e ".[dev]" && python -m pytest -q
Contributing
See CONTRIBUTING.md.
About
Built by Jeff Otterson (Jott2121). agent-gate operationalizes the gating discipline from bow (an autonomous all-Claude chief-of-staff agent) and the Fleet Mode doctrine. Siblings in the same line: rag-guard and agent-cost-attribution. MIT licensed.