Topdesk MCP Server
topdesk-mcp
PyPI
v0.8.1
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
MCP server for TOPdesk API using FastMCP and TOPdeskPy SDK
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 − 2 = 98. 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 |
|---|---|
| −2 | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read |
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.
Findings 0
Tools 30
Each tool and what it can reach — statically extracted from the published source.
topdesk_add_action_to_incidentno sensitive capabilitytopdesk_archive_incidentno sensitive capabilitytopdesk_archive_personno sensitive capabilitytopdesk_create_incidentno sensitive capabilitytopdesk_create_personno sensitive capabilitytopdesk_deescalate_incidentno sensitive capabilitytopdesk_delete_incident_actionno sensitive capabilitytopdesk_escalate_incidentno sensitive capabilitytopdesk_get_available_deescalation_reasonsno sensitive capabilitytopdesk_get_available_escalation_reasonsno sensitive capability
Show 20 more tools ↓
topdesk_get_complete_incident_overviewno sensitive capabilitytopdesk_get_fiql_query_howtono sensitive capabilitytopdesk_get_incidentno sensitive capabilitytopdesk_get_incident_actionsno sensitive capabilitytopdesk_get_incident_attachmentsno sensitive capabilitytopdesk_get_incident_attachments_as_markdownno sensitive capabilitytopdesk_get_incident_user_requestsno sensitive capabilitytopdesk_get_incidents_by_fiql_queryno sensitive capabilitytopdesk_get_object_schemasno sensitive capabilitytopdesk_get_operatorno sensitive capabilitytopdesk_get_operatorgroups_of_operatorno sensitive capabilitytopdesk_get_operators_by_fiql_queryno sensitive capabilitytopdesk_get_personno sensitive capabilitytopdesk_get_person_by_queryno sensitive capabilitytopdesk_get_progress_trailno sensitive capabilitytopdesk_get_timespent_on_incidentno sensitive capabilitytopdesk_register_timespent_on_incidentno sensitive capabilitytopdesk_unarchive_incidentno sensitive capabilitytopdesk_unarchive_personno sensitive capabilitytopdesk_update_personno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (30 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 1
Scan 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 |
|---|---|---|---|---|
v0.8.1 latest |
A 98/100 | 0 | 1.13.0 | 2026-08-25 |
Embed this score
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.
Verify this score yourself
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.
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