SkillAudit report — awslabs/mcp
Scanned 2026-04-24 by SkillAudit v0.2 (static checks + LLM-assisted prompt-injection red-team).
Commit: 6d7a843 · Stars: 8858 · Days since last push: 0
LLM prompt-injection probe: skipped — set ANTHROPIC_API_KEY to enable the LLM-assisted prompt-injection red-team
Overall grade: F (10/100)
| Axis | Score | Grade | |
|---|---|---|---|
| security | 10/100 | F | ❌ |
| permissions | 100/100 | A | ✅ |
| credentials | 65/100 | D | ❌ |
| maintenance | 90/100 | A | ✅ |
| compatibility | 70/100 | C | ⚠️ |
| docs | 100/100 | A | ✅ |
Security findings
Production sources:
- HIGH
samples/mcp-integration-with-kb/user_interfaces/chat_bedrock_st.py:91— Template-string URL with interpolation — no validation possible on composed string
response = requests.post(
- HIGH
samples/mcp-integration-with-nova-canvas/user_interfaces/image_generator_st.py:93— Template-string URL with interpolation — no validation possible on composed string
response = requests.post(
- HIGH
src/aws-api-mcp-server/awslabs/aws_api_mcp_server/core/metadata/read_only_operations_list.py:54— HTTP client call with user-controlled argument 'SERVICE_REFERENCE_URL' — no URL allowlist / validation found in file
response = requests.get(SERVICE_REFERENCE_URL, timeout=DEFAULT_REQUEST_TIMEOUT).json()
- HIGH
src/aws-serverless-mcp-server/awslabs/aws_serverless_mcp_server/utils/github.py:37— HTTP client call with user-controlled argument 'url' — no URL allowlist / validation found in file
response = requests.get(url, headers=default_headers, timeout=30)
- HIGH
src/eks-mcp-server/awslabs/eks_mcp_server/eks_kb_handler.py:81— HTTP client call with user-controlled argument 'API_ENDPOINT' — no URL allowlist / validation found in file
response = requests.post(
- HIGH
src/eks-mcp-server/awslabs/eks_mcp_server/scripts/update_eks_cloudwatch_metrics_guidance.py:53— HTTP client call with user-controlled argument 'DOCS_URL' — no URL allowlist / validation found in file
response = requests.get(DOCS_URL, timeout=10)
- HIGH
src/openapi-mcp-server/awslabs/openapi_mcp_server/auth/cognito_auth.py:310— HTTP client call with user-controlled argument 'token_endpoint' — no URL allowlist / validation found in file
response = requests.post(token_endpoint, headers=headers, data=data)
Permissions
_No findings on this axis._
Credentials
Production sources:
- HIGH
src/dynamodb-mcp-server/awslabs/dynamodb_mcp_server/model_validation_utils.py:70— Hardcoded AWS access key found in source
AKIA*** (AWS access key, 20 chars)
- WARN
samples/mcp-integration-with-kb/.env.example— .env file present in repo tree — verify it's a template, not real secrets
samples/mcp-integration-with-kb/.env.example
- WARN
samples/mcp-integration-with-nova-canvas/.env.example— .env file present in repo tree — verify it's a template, not real secrets
samples/mcp-integration-with-nova-canvas/.env.example
Test-site findings (lower weight): 41 total in test/ paths — first 3 shown
- HIGH
src/aws-location-mcp-server/tests/test_server.py:1032— Hardcoded AWS access key found in source
AKIA*** (AWS access key, 20 chars)
- HIGH
src/aws-location-mcp-server/tests/test_server.py:1045— Hardcoded AWS access key found in source
AKIA*** (AWS access key, 20 chars)
- HIGH
src/aws-location-mcp-server/tests/test_server.py:1231— Hardcoded AWS access key found in source
AKIA*** (AWS access key, 20 chars)
Maintenance
Production sources:
- WARN
(meta)— 467 open issues — triage backlog
467 open
Compatibility
Production sources:
- WARN
(meta)— No engines (Node) or python_requires declared — cross-client compatibility unverified
Documentation
_No findings on this axis._
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
execFilewith argv arrays instead ofexecwith template strings; never pass untrusted strings tosubprocesswithshell=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_
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