rei-checker
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., "@rei-checkerverify the expression: (P and not P)"
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.
rei-checker-mcp
Formal verification checker MCP v0.1.0a1 — Takes one line, returns true/false. Nothing more, nothing less.
Three-valued verdict (VALID / INVALID / UNDECIDED). No LLM in the judgment path. Every UNDECIDED carries a reason code and lands in an append-only refutation ledger.
License: AGPL-3.0-or-later Spec: CHECKER_SPEC_v0.md Design invariants: CLAUDE.md
Run in 5 minutes
Python 3.9+ is all you need. No external dependencies (stdlib only).
git clone https://github.com/fc0web/rei-checker-mcp.git
cd rei-checker-mcp
python -m rei_checker verify "1 + 1 = 2"Expected output:
{
"verdict": "VALID",
"elapsed_ms": 0,
"checker_version": "rei-checker-mcp/0.1.0a1+spike-2026-08-22"
}Inputs that cannot be decided return "cannot decide" (spec §1.2):
python -m rei_checker verify "some unknown thing"{
"verdict": "UNDECIDED",
"elapsed_ms": 0,
"checker_version": "rei-checker-mcp/0.1.0a1+spike-2026-08-22",
"reason_code": "OUT_OF_SCOPE",
"detail": "MockBackend has no rule for this expression"
}exit code: 0 = decisive (VALID/INVALID), 2 = UNDECIDED. You can branch directly in shell scripts on whether a decision was reached.
Related MCP server: Chiasmus
Ledger accumulation and stats
Every verify call appends one line to ledger.jsonl (spec §4).
python -m rei_checker verify "1 + 1 = 2"
python -m rei_checker verify "1 + 1 = 3"
python -m rei_checker verify "<axiom-test>"
python -m rei_checker stats{
"total": 3,
"valid": 1,
"invalid": 1,
"undecided": 1,
"decision_rate": 0.6666666666666666,
"reason_breakdown": {
"MISSING_AXIOM": 1
}
}decision_rate is the only metric (spec §3). An initial value of 0.1 is fine — being in a measurable state is the success condition.
The ledger location can be overridden with the $REI_CHECKER_LEDGER env var. Default = ledger.jsonl in the current directory.
Using as an MCP server
Register with Claude Desktop:
{
"mcpServers": {
"rei-checker": {
"command": "python",
"args": ["-m", "rei_checker", "mcp"],
"cwd": "C:/path/to/rei-checker-mcp",
"env": {
"REI_CHECKER_LEDGER": "C:/path/to/ledger.jsonl"
}
}
}
}There are only 2 MCP tools (spec §2, intentionally minimal):
verify(expression, context?, timeout_ms?)→{ verdict, reason_code?, detail?, elapsed_ms, checker_version }stats()→{ total, valid, invalid, undecided, decision_rate, reason_breakdown }
What is "not built" (explicit in spec §2)
The following are non-goals for v0. If you're tempted to implement any of them, stop and confirm first:
UI / web frontend
User registration, authentication, billing
Gamification, progress tracking, learning history
Natural language dialogue / explanation generation
Multi-backend support (Lean 4 only; v0 spike runs on Mock backend)
Dependence on Claude-specific features
v0 status (honest scope, 2026-08-22 spike)
✅ Schema (3 values + 6 reason codes) fully implemented
✅ Mock backend (truth table for tests + all reason code triggers)
✅ Ledger (append-only JSONL, UTF-8, malformed row skip)
✅ stats() aggregate (decision_rate + reason_breakdown)
✅ MCP stdio server (initialize + tools/list + tools/call)
✅ CLI (verify / stats / mcp / version subcommands)
⚠ Lean 4 backend is a stub (v0.2 candidate, planned for lean_backend/ dir)
⚠ Timeout enforcement is soft (elapsed monitoring; hard process kill in v0.2)
"Being used first" is the priority (spec §1.3, §6.6). Once the Lean 4 harness is complete, swapping in the backend enables real verification. The API surface does not change.
Phase 2 (do not start until v0 is complete)
Three-layer structure defined in spec §9-13:
Layer 1 checker (verify / stats) ← v0, this
Layer 2 education (locate_first_error / boundary_report / escalate)
Layer 3 harness (calibration / regression / transfer)
Implementation order: Layer 1 → Layer 3② calibration harness → Layer 2. Details in spec §9-13.
Testing
python -m unittest tests.test_all -vPer spec §7, prioritize tests for cases that should return UNDECIDED (individual tests for all reason_codes + VALID/INVALID happy paths).
Relationship to the Rei stack (avoiding confusion)
This repo is intentionally independent. Distinctions from adjacent tools:
rei-verify (PyPI 0.1.0a1) = refutation machine, 4-value verdict, refutation-first focus. This repo is 3-value verification-first — different design philosophy.
grounded-check = citation grounding check for LLM output, different domain.
rei-preregister = predictive SHA256 seal, pre-registration tool.
discovery-worker = counterexample hunter, different layer.
No integration at this time, as it would violate spec §5 "multi-backend support is a non-goal".
Contributing / Reporting
Please follow the 4 principles of spec §8:
If you're unsure whether to add a feature, don't add it
If you're unsure whether to return "probably correct", return UNDECIDED
If you're unsure whether to expose theory in the API, don't
Don't rush; go slowly
Maintenance
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