SkillAudit report — sooperset/mcp-atlassian

Scanned 2026-04-24 by SkillAudit v0.2 (static checks + LLM-assisted prompt-injection red-team).

Commit: d8bc786 · Stars: 5013 · Days since last push: 13

LLM prompt-injection probe: no-tool-surface

Overall grade: F (10/100)

Security findings

Production sources:

• HIGH src/mcp_atlassian/jira/users.py:244 — HTTP client call with user-controlled argument 'url' — no URL allowlist / validation found in file

response = requests.get(

• HIGH src/mcp_atlassian/utils/oauth.py:177 — HTTP client call with user-controlled argument 'token_endpoint' — no URL allowlist / validation found in file

response = requests.post(token_endpoint, data=payload, timeout=HTTP_TIMEOUT)

• HIGH src/mcp_atlassian/utils/oauth.py:322 — HTTP client call with user-controlled argument 'CLOUD_ID_URL' — no URL allowlist / validation found in file

response = requests.get(CLOUD_ID_URL, headers=headers, timeout=HTTP_TIMEOUT)

Test-site findings (lower weight): 21 total in test/ paths — first 3 shown

• HIGH tests/e2e/cloud/conftest.py:123 — Template-string URL with interpolation — no validation possible on composed string

resp = requests.get(

• HIGH tests/e2e/cloud/conftest.py:136 — Template-string URL with interpolation — no validation possible on composed string

resp = requests.get(

• HIGH tests/e2e/cloud/conftest.py:158 — Template-string URL with interpolation — no validation possible on composed string

resp = requests.post(

Permissions

_No findings on this axis._

Credentials

Production sources:

• WARN .env.example — .env file present in repo tree — verify it's a template, not real secrets

.env.example

• WARN tests/e2e/docker/.env.example — .env file present in repo tree — verify it's a template, not real secrets

tests/e2e/docker/.env.example

Test-site findings (lower weight): 2 total in test/ paths — first 3 shown

• HIGH tests/unit/utils/test_custom_headers.py:135 — Hardcoded OpenAI / Anthropic-style API key found in source

sk-*** (OpenAI / Anthropic-style API key, 19 chars)

• HIGH tests/unit/utils/test_custom_headers.py:145 — Hardcoded OpenAI / Anthropic-style API key found in source

sk-*** (OpenAI / Anthropic-style API key, 19 chars)

Maintenance

Production sources:

• WARN (meta) — 270 open issues — triage backlog

270 open

Compatibility

_No findings on this axis._

Documentation

Production sources:

• WARN README — README has no usage/example section

no usage section

Methodology

SkillAudit v0.2 clones the repo at the provided ref (default: default branch, HEAD) into an ephemeral sandbox, runs six static checks over .js/.ts/.py sources, queries the GitHub API for maintenance signals, and runs an LLM-assisted prompt-injection red-team over the MCP tool surface. Each axis is scored against the rubric at .

The prompt-injection axis extracts each server.tool(...) / @app.tool registration + the first ~60 lines of handler body, hands them to Claude Haiku 4.5 with a red-team system prompt, and asks for structured findings on untrusted-content flow into tool responses. One API call per scan, bounded at ~15K input tokens.

How to improve this grade

• Security — static: validate tool-input URLs against an allowlist before fetch/axios calls; use execFile with argv arrays instead of exec with template strings; never pass untrusted strings to subprocess with shell=True.
• Security — prompt injection: never return fetched web-page / file / email content verbatim in a tool response. Wrap with a framing marker (e.g., <untrusted-content>...</untrusted-content>), summarize rather than inline, and never let untrusted content share a turn with credentials or other tool output.
• Credentials findings: redact env-var reads before log lines and error messages; treat any string that ends up in a tool response as public.
• Maintenance: if the repo is inactive, document the maintenance model — "MCP tool, no breaking changes expected" is a legitimate signal.
• Docs: add a README install + usage section with a copy-pasteable command; add a SECURITY.md with a disclosure channel.

_Report generated by skillaudit.dev_