atlassian-mcp-server
PyPI
v0.4.4
Published by inframcp — 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.
MCP server for Atlassian Cloud (Confluence & Jira) with seamless OAuth 2.0 authentication
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 − 4 = 96. 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 |
| −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.
Untrusted-input tools ([confluence_get_page]) co-exist with external-action tools ([jira_create_issue]). A prompt injection could cause unwanted external actions, though no direct sensitive-data leak path was found.
Evidence: untrusted [confluence_get_page] → sinks [jira_create_issue]
Fix: Require confirmation for state-changing/egress actions triggered after processing untrusted content.
Location: flow confluence_get_page → jira_create_issue
Each tool and what it can reach — statically extracted from the published source.
confluence_get_pageingests untrusted inputjira_create_issuenetwork egressassets_create_objectno sensitive capabilityassets_get_object_typesno sensitive capabilityassets_get_objectsno sensitive capabilityassets_list_workspacesno sensitive capabilityconfluence_create_pageno sensitive capabilityconfluence_list_spacesno sensitive capabilityconfluence_searchno sensitive capabilityconfluence_update_pageno sensitive capabilityjira_add_commentno sensitive capabilityjira_get_issueno sensitive capabilityjira_searchno sensitive capabilityjira_update_issueno sensitive capabilityservicedesk_check_availabilityno sensitive capabilityservicedesk_create_requestno sensitive capabilityservicedesk_get_requestno sensitive capabilityservicedesk_get_requestsno sensitive capabilityservicedesk_list_request_typesno sensitive capabilityservicedesk_list_service_desksno sensitive capabilityCross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).
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 |
|---|---|---|---|---|
v0.4.4 latest |
A 96/100 | 1 | 1.13.0 | 2026-08-25 |
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 atlassian-mcp-server --online --registry pypi
Independent packages implementing the same tool, scanned with the same engine. Compare all 14 side by side →
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