Loopbreaker (rordi-ai/loopbreaker) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 8 tools. No publisher has claimed this listing.
Provides tools for agents to manage a local review graph, tracking acceptance behaviors, evidence, review passes, and human waivers to decouple review convergence from shipping readiness.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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rordi-ai
Source: Glama
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Install from
The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
review_import_contractCreate or import an issue's behavior-child acceptance contract. Behaviors are enforced unless advisory is explicitly true; reviewed contracts are frozen.
review_list_issuesList locally tracked issues with derived review and shipping states.
review_substrateReturn the issue's frozen behavior contract, evidence, findings, bounded review state, waivers, and ship decision.
review_record_passRecord the next bounded review pass. Only passes 1-3 are accepted and pass 3 is decision-only.
review_record_evidenceAttach proportionate unit, wired, or live evidence to an issue behavior.
review_verify_behaviorMark one behavior verified using attached passing evidence.
review_create_waiverExplicitly accept named debt for one enforced behavior; this can produce ship_with_debt.
review_ship_statusReturn the authoritative ship disposition derived from enforced behavior verification and waivers.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
When Vitest UI server is listening, arbitrary file can be read and executed
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
LOOPBREAKER_DBit with --db PATH or .Tool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
8/8 tools missing one or more hints — review_import_contract (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); review_list_issues (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); review_substrate (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +5 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool inputs are validated
7/8 tool handlers declare input schemas (88%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tool test coverage
Only 0/8 tools referenced in tests (0%)
Write tests that reference each tool by name so every tool has at least one test.
Shell command execution
5 child_process calls — runs shell commands
Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.
Production dependencies are patched
0 critical, 1 high severity in production deps — @modelcontextprotocol/sdk@1.25.3 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
Dev dependencies
1 critical/high in dev-only deps (does not ship to users)
Upgrade dev dependencies when convenient.
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