@clamp-sh/mcp
npm
v5.5.2
Published by @clamp-sh — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
Analytics MCP server for Clamp Analytics. Gives Claude, Cursor, VS Code, Windsurf, and Cline tools for traffic, pages, events, revenue, errors, funnels, cohorts, and alerts. Stdio + hosted Remote MCP.
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 − 1 = 99. 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 |
|---|---|
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
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 — statically extracted from the published source.
alerts.createno sensitive capabilityalerts.deleteno sensitive capabilityalerts.listno sensitive capabilitycohorts.compareno sensitive capabilitycohorts.createno sensitive capabilitycohorts.deleteno sensitive capabilitycohorts.listno sensitive capabilitycohorts.retentionno sensitive capabilitydocs.searchno sensitive capabilityerrors.contextno sensitive capabilityerrors.groupsno sensitive capabilityerrors.listno sensitive capabilityerrors.timelineno sensitive capabilityevents.listno sensitive capabilityevents.observed_schemano sensitive capabilityevents.property_valuesno sensitive capabilityfunnels.createno sensitive capabilityfunnels.deleteno sensitive capabilityfunnels.listno sensitive capabilitypages.engagementno sensitive capabilityprojects.listno sensitive capabilityrevenue.retentionno sensitive capabilityrevenue.sumno sensitive capabilityrevenue.summaryno sensitive capabilitysearch.landing_pagesno sensitive capabilitysearch.queriesno sensitive capabilitysessions.pathsno sensitive capabilitytraffic.breakdownno sensitive capabilitytraffic.compareno sensitive capabilitytraffic.liveno sensitive capabilitytraffic.overviewno sensitive capabilitytraffic.timeseriesno sensitive capabilityusers.journeyno 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 |
|---|---|---|---|---|
v5.5.2 latest |
A 99/100 | 0 | 1.13.0 | 2026-09-07 |
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 @clamp-sh/mcp --online
Public-safe MCP admin discovery contract descriptors and response builders.
Pokemon Champions battle advisor MCP server
Airflow MCP server — DAG list, runs, task instances, log tails, trigger and clear over the Airflow REST API
MCP analytics wrapper SDK that instruments MCP tool declarations with telemetry.
AI-ready GIS, geofencing, DataSynch, CRM, inventory, routing, APIs, telemetry and workflows.
AI-native social listening. Monitor buying signals and run GTM workflows via natural language.