https://app.geodesiclabs.ai/mcp
Remote
v1.27.0
Published by app.geodesiclabs.ai — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
Deterministic AI governance platform. Validates agent outputs, discovers patterns, solves math.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 3 = 97. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Each tool and what it can reach — enumerated from the running server.
list_api_keysreads sensitive dataaccount_statusno sensitive capabilityanalyze_anomalyno sensitive capabilityapprove_ruleno sensitive capabilityauthorize_executionno sensitive capabilitycheck_blueprint_healthno sensitive capabilitycheck_driftno sensitive capabilitycheck_realizationno sensitive capabilitycompare_semantic_equivalenceno sensitive capabilitycounterfactualno sensitive capabilitycreate_blueprintno sensitive capabilitycreate_chainno sensitive capabilitydecompose_failureno sensitive capabilitydelete_api_keyno sensitive capabilitydelete_blueprintno sensitive capabilitydiscover_patternsno sensitive capabilityforecastno sensitive capabilitygeometric_confidenceno sensitive capabilityget_execution_traceno sensitive capabilityget_inference_traceno sensitive capabilitygovern_inferenceno sensitive capabilityhandoff_auditno sensitive capabilitylist_blueprintsno sensitive capabilityload_rule_packno sensitive capabilityprofile_blueprint_robustnessno sensitive capabilityrecent_inference_decisionsno sensitive capabilityreject_ruleno sensitive capabilityrepairno sensitive capabilityrepair_pathno sensitive capabilityrotate_api_keyno sensitive capabilitystructural_typesno sensitive capabilitysubmit_chain_stageno sensitive capabilityupdate_blueprintno sensitive capabilityvalidateno sensitive capabilityvalidate_repairno sensitive capabilityverify_certificateno sensitive capabilityverify_replayno sensitive capabilityScan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v1.27.0 latest |
A 97/100 | 0 | 1.10.0 | 2026-07-25 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan https://app.geodesiclabs.ai/mcp --online
Security scan results for the Agent MCP server.
Security scan results for the Agent Claim MCP server.
Security scan results for the Agent Comm MCP server.
Security scan results for the Agent Comm MCP server.
Security scan results for the Agent Mcp Manager MCP server.
Security scan results for the Agent Mesh MCP server.