Uaar University MCP Server
uaar-university-mcp
PyPI
v0.1.0
Published by uaar-university — 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.
UAAR University MCP Server
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.
Findings 0
Tools 53
Each tool and what it can reach — statically extracted from the published source.
admin_add_bookno sensitive capabilityadmin_add_courseno sensitive capabilityadmin_add_departmentno sensitive capabilityadmin_add_eventno sensitive capabilityadmin_add_facultyno sensitive capabilityadmin_add_newsno sensitive capabilityadmin_add_scholarshipno sensitive capabilitycalculate_gpano sensitive capabilitycheck_admission_statusno sensitive capabilitycheck_book_availabilityno sensitive capability
Show 43 more tools ↓
check_hostel_availabilityno sensitive capabilitycheck_scholarship_eligibilityno sensitive capabilityconfirm_and_submit_admission_formno sensitive capabilityfill_admission_fieldno sensitive capabilityfill_multiple_admission_fieldsno sensitive capabilityfind_bus_stopno sensitive capabilityget_admission_form_statusno sensitive capabilityget_admission_requirementsno sensitive capabilityget_available_programsno sensitive capabilityget_borrowed_booksno sensitive capabilityget_bus_routesno sensitive capabilityget_cgpano sensitive capabilityget_class_scheduleno sensitive capabilityget_department_contactno sensitive capabilityget_emergency_contactsno sensitive capabilityget_exam_scheduleno sensitive capabilityget_fee_structureno sensitive capabilityget_financial_aid_office_infono sensitive capabilityget_hostel_feesno sensitive capabilityget_hostel_rulesno sensitive capabilityget_important_linksno sensitive capabilityget_latest_newsno sensitive capabilityget_library_hoursno sensitive capabilityget_merit_listno sensitive capabilityget_mess_menuno sensitive capabilityget_route_by_stopno sensitive capabilityget_scholarship_detailsno sensitive capabilityget_semester_resultno sensitive capabilityget_today_classesno sensitive capabilityget_transcript_request_infono sensitive capabilityget_transport_card_infono sensitive capabilityget_university_infono sensitive capabilityget_user_profileno sensitive capabilitylist_departmentsno sensitive capabilitylist_scholarshipsno sensitive capabilitylist_upcoming_eventsno sensitive capabilitylog_interactionno sensitive capabilitypreview_admission_formno sensitive capabilitysearch_coursesno sensitive capabilitysearch_facultyno sensitive capabilitysearch_library_booksno sensitive capabilitystart_admission_formno sensitive capabilitysubmit_help_ticketno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (53 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 |
|---|---|---|---|---|
v0.1.0 latest |
A 99/100 | 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.
npx mcptrustchecker scan uaar-university-mcp --online --registry pypiMore in Databases
Security scan results for the A5sql MCP server.
Expose AgentsKit tools as an MCP server — use them from Claude Desktop, Cursor, Windsurf, or any MCP host.
MCP server for Aiven cloud data platform - manage PostgreSQL, Kafka, and other services
MCP Server for All-Inkl.com hosting via KAS API
Structured aquarium, marine, terrarium and paludarium data for AI agents.
MCP server that gives your AI agent real vehicle data — specs, representative images, federal recalls, owner complaints, service bulletins, defect investigations, and OBD-II DTC reference — from the CarVector API.