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AWS MCP Servers

AWS Labs' suite of MCP servers for AWS docs, infrastructure, containers, databases, and cost analysis.

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Installs43k
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AWS MCP Servers

awslabs/mcp is an open-source suite of specialized Model Context Protocol servers maintained by AWS Labs, designed to help you get more out of AWS from any MCP client.

The monorepo ships many focused servers spanning real-time access to official AWS documentation, infrastructure and deployment (CDK, Terraform, CloudFormation), container platforms (ECS, EKS), serverless, databases, and cost analysis. Each server exposes AWS capabilities as MCP tools that coding agents can call directly.

It is intended for developers and cloud engineers building on AWS who want their AI assistant to reference AWS docs and interact with AWS services programmatically.

Rating rank
#1
of 23 in DevOps & Infra
Install rank
#19
of 23 in DevOps & Infra
Security score
16/100 · D
review
Security rank
#7
of 23 in DevOps & Infra
Installs
43k
cat avg 212k
This listing vs category average
Installs
this
cat avg
Security (of 100)
this
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See the DevOps & Infra leaderboard →
! Security: Review · 1616/100 · grade Dscanned 2h ago

Only compromise signals — malicious or tampered code (leaked secrets, backdoors, path traversal, a dropped executable) — reduce the score. Dangerous-by-capability traits (shell, network, injection strings, pickle) are shown as risk surface: expected for some capabilities — a security tool ships offensive code on purpose — so they do not sink the grade.

Compromise signals
Embedded credentialshighawslabs-mcp-8e7650b/src/aurora-dsql-mcp-server/kiro_power/steering/language.md
found: DB connection string with credentials
Verified secret leak (deep scan)high
109 leak(s): generic-api-key
What this capability can do · high confidence (static)
Tools (16)
tool_namenamekendra_list_indexes_toolkendra_query_toollist_keyspacescreate_brokercreate_configurationget_statusget_schemarun_opencypher_queryrun_gremlin_querycreate_topiccreate_queuelist_terminologieslist_language_pairslist_active_workflows
⚑ filesystem⚑ shell⚑ network⚑ secrets
egress → www.apache.org, docusaurus.io, awslabs.github.io, aws.amazon.com, modelcontextprotocol.io, docs.aws.amazon.com, aws.github.io, . +28
Risk surface (44)
External endpoints declaredlowexpected for this capabilityawslabs-mcp-8e7650b/.github/CODEOWNERS
1 distinct host(s)
External endpoints declaredlowexpected for this capabilityawslabs-mcp-8e7650b/.github/ISSUE_TEMPLATE/bug_report.yml
2 distinct host(s)
Egress to a private/loopback hosthighexpected for this capabilityawslabs-mcp-8e7650b/.github/actions/build-and-push-container-image/action.yml
feathericons.com
Broad capability surfacelowawslabs-mcp-8e7650b/.github/workflows/python.yml
4 high-impact capability categories referenced — verify least-privilege
External endpoints declaredlowexpected for this capabilityawslabs-mcp-8e7650b/.github/workflows/release.yml
3 distinct host(s)
Suspicious code patternshighexpected for this capabilityawslabs-mcp-8e7650b/.github/workflows/trivy.yml
pipe-to-shell install
External endpoints declaredmediumexpected for this capabilityawslabs-mcp-8e7650b/.gitignore
11 distinct host(s)
Suspicious code patternsmediumexpected for this capabilityawslabs-mcp-8e7650b/DESIGN_GUIDELINES.md
dynamic code execution
Broad capability surfacelowawslabs-mcp-8e7650b/DESIGN_GUIDELINES.md
3 high-impact capability categories referenced — verify least-privilege
External endpoints declaredlowexpected for this capabilityawslabs-mcp-8e7650b/DESIGN_GUIDELINES.md
4 distinct host(s)
Suspicious network referencesmediumexpected for this capabilityawslabs-mcp-8e7650b/DEVELOPER_GUIDE.md
raw IP URL (18 URLs)
Egress to a private/loopback hosthighexpected for this capabilityawslabs-mcp-8e7650b/DEVELOPER_GUIDE.md
127.0.0.1
External endpoints declaredmediumexpected for this capabilityawslabs-mcp-8e7650b/DEVELOPER_GUIDE.md
12 distinct host(s)
Possible obfuscationmediumawslabs-mcp-8e7650b/README.md
very long lines
External endpoints declaredmediumexpected for this capabilityawslabs-mcp-8e7650b/README.md
21 distinct host(s)
External endpoints declaredlowexpected for this capabilityawslabs-mcp-8e7650b/VIBE_CODING_TIPS_TRICKS.md
6 distinct host(s)
Path traversal sequencesmediumexpected for this capabilityawslabs-mcp-8e7650b/docs/migration-core.md
'../' present in content or name
External endpoints declaredlowexpected for this capabilityawslabs-mcp-8e7650b/docusaurus/docs/installation.md
7 distinct host(s)
External endpoints declaredlowexpected for this capabilityawslabs-mcp-8e7650b/docusaurus/docusaurus.config.ts
5 distinct host(s)
Potentially unbounded loopmediumawslabs-mcp-8e7650b/src/amazon-bedrock-agentcore-mcp-server/awslabs/amazon_bedrock_agentcore_mcp_server/tools/browser/__init__.py
an infinite loop (while True / while(1) / for(;;)) may cause runaway consumption
Prompt-injection phrasinghighawslabs-mcp-8e7650b/src/amazon-bedrock-agentcore-mcp-server/awslabs/amazon_bedrock_agentcore_mcp_server/tools/identity/oauth2_providers.py
instruction-subversion language detected
Embedded credentialshighexpected for this capabilityawslabs-mcp-8e7650b/src/amazon-bedrock-agentcore-mcp-server/tests/code_interpreter/test_session.py
found: hardcoded credential
External endpoints declaredlowexpected for this capabilityawslabs-mcp-8e7650b/src/amazon-kendra-index-mcp-server/README.md
8 distinct host(s)
Embedded credentialshighexpected for this capabilityawslabs-mcp-8e7650b/src/amazon-translate-mcp-server/tests/test_aws_client.py
found: AWS access key id, AWS secret key, hardcoded credential
Embedded credentialshighexpected for this capabilityawslabs-mcp-8e7650b/src/amazon-translate-mcp-server/tests/test_config.py
found: AWS access key id, AWS secret key
External endpoints declaredlowexpected for this capabilityawslabs-mcp-8e7650b/src/aurora-dsql-mcp-server/README.md
9 distinct host(s)
Suspicious network referencesmediumexpected for this capabilityawslabs-mcp-8e7650b/src/aws-api-mcp-server/README.md
raw IP URL (28 URLs)
External endpoints declaredmediumexpected for this capabilityawslabs-mcp-8e7650b/src/aws-api-mcp-server/README.md
14 distinct host(s)
Suspicious network referencesmediumexpected for this capabilityawslabs-mcp-8e7650b/src/aws-api-mcp-server/tests/middleware/test_http_header_validation_middleware.py
raw IP URL (33 URLs)
Internal host / private infrastructure referencemediumexpected for this capabilityawslabs-mcp-8e7650b/src/aws-api-mcp-server/tests/middleware/test_http_header_validation_middleware.py
shipped content references a private IP range or internal-only host
Egress to a private/loopback hosthighexpected for this capabilityawslabs-mcp-8e7650b/src/aws-api-mcp-server/tests/middleware/test_http_header_validation_middleware.py
192.168.1.1
Suspicious network referencesmediumexpected for this capabilityawslabs-mcp-8e7650b/src/aws-api-mcp-server/tests/parser/test_parser.py
raw IP URL (10 URLs)
Egress to a private/loopback hosthighexpected for this capabilityawslabs-mcp-8e7650b/src/aws-api-mcp-server/tests/parser/test_parser.py
127.0.0.1, [::1], 192.168.1.1
Suspicious network referencesmediumexpected for this capabilityawslabs-mcp-8e7650b/src/aws-appsync-mcp-server/tests/test_create_datasource.py
raw IP URL (25 URLs)
Egress to a private/loopback hosthighexpected for this capabilityawslabs-mcp-8e7650b/src/aws-appsync-mcp-server/tests/test_create_datasource.py
127.0.0.1, 127.0.0.2, 127.255.255.255, 10.0.0.1, 192.168.1.1, 172.16.0.1, 172.31.255.255, 169.254.169.254, 169.254.0.1, 0.0.0.0, [::1], [fe80::1], [fc00::1], 0.0.0.127, 0.0.0.1
External endpoints declaredmediumexpected for this capabilityawslabs-mcp-8e7650b/src/aws-appsync-mcp-server/tests/test_create_datasource.py
20 distinct host(s)
External endpoints declaredlowexpected for this capabilityawslabs-mcp-8e7650b/src/aws-dataprocessing-mcp-server/README.md
10 distinct host(s)
Suspicious network referenceslowexpected for this capabilityawslabs-mcp-8e7650b/src/aws-documentation-mcp-server/awslabs/aws_documentation_mcp_server/server_aws_cn.py
suspicious TLD (6 URLs)
Suspicious network referenceslowexpected for this capabilityawslabs-mcp-8e7650b/src/aws-documentation-mcp-server/tests/test_aws_cn_get_available_services_live.py
suspicious TLD (2 URLs)
Suspicious network referenceslowexpected for this capabilityawslabs-mcp-8e7650b/src/aws-documentation-mcp-server/tests/test_aws_cn_read_documentation_live.py
suspicious TLD (3 URLs)
Suspicious network referenceslowexpected for this capabilityawslabs-mcp-8e7650b/src/aws-documentation-mcp-server/tests/test_server_aws_cn.py
suspicious TLD (7 URLs)
Suspicious code patternsmediumexpected for this capabilityawslabs-mcp-8e7650b/src/aws-healthomics-mcp-server/awslabs/aws_healthomics_mcp_server/tools/workflow_linting.py
OS command execution
Embedded credentialshighexpected for this capabilityawslabs-mcp-8e7650b/src/aws-location-mcp-server/tests/test_server.py
found: AWS access key id
Vulnerable dependenciescritical
2588 known vulnerabilities in: @ai-sdk/provider-utils@3.0.15, @babel/core@7.28.4, @babel/plugin-transform-modules-systemjs@7.27.1, ajv@6.12.6, ajv@8.17.1, brace-expansion@1.1.12, fast-uri@3.1.0, follow-redirects@1.15.11
✔ verified source · pinned awslabs-mcp-8e7650b
Check against a policy

The same gate an agent runs before installing (POST /api/v1/trust/aws-mcp-servers/check). Click a policy:

OWASP AI control mapping
5passed
10flagged
0runtime-enforced
5governance

Evaluated against the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any control to see the findings.

OWASP Top 10 for LLM Applications
⚠LLM01Prompt Injectionhigh
Adversarial instructions embedded in an artifact that hijack a downstream LLM.
•Prompt-injection phrasing — instruction-subversion language detected (CWE-77)
⚠LLM02Sensitive Information Disclosurehigh
Secrets, credentials or PII shipped inside the artifact.
•Embedded credentials — found: hardcoded credential (CWE-798)
•Embedded credentials — found: AWS access key id, AWS secret key, hardcoded credential (CWE-798)
•Embedded credentials — found: AWS access key id, AWS secret key (CWE-798)
•Embedded credentials — found: DB connection string with credentials (CWE-798)
•Embedded credentials — found: AWS access key id (CWE-798)
•Verified secret leak (deep scan) — 109 leak(s): generic-api-key (CWE-798)
⚠LLM03Supply Chaincritical
Vulnerable/compromised dependencies, models or archives in the artifact.
•Dependency manifest — 117 pip requirements declared
•Dependency manifest — 162 pip requirements declared
•Dependency manifest — 81 pip requirements declared
•Dependency manifest — 479 pip requirements declared
•Dependency manifest — 13 npm dependencies declared
•Dependency manifest — 20 pip requirements declared
•Vulnerable dependencies — 2588 known vulnerabilities in: @ai-sdk/provider-utils@3.0.15, @babel/core@7.28.4, @babel/plugin-transform-modules-systemjs@7.27.1, ajv@6.12.6, ajv@8.17.1, brace-expansion@1.1.12, fast-uri@3.1.0, follow-redirects@1.15.11 (CWE-1395)
✓LLM04Data and Model PoisoningPassed
Backdoors/poisoning in training data or serialized models.
Behavioral poisoning needs model execution; static check covers unsafe serialization + dataset skew only.
⚠LLM05Improper Output Handlinghigh
Code that pipes model/user output into shell, eval, SQL or paths unsafely.
•Suspicious code patterns — pipe-to-shell install (CWE-494)
•Suspicious code patterns — dynamic code execution (CWE-95)
•Path traversal sequences — '../' present in content or name (CWE-22)
•Suspicious code patterns — OS command execution (CWE-78)
⚠LLM06Excessive Agencyhigh
Over-broad tool/permission surface or unrestricted egress.
•External endpoints declared — 1 distinct host(s)
•External endpoints declared — 2 distinct host(s)
•Egress to a private/loopback host — feathericons.com (CWE-918)
•Broad capability surface — 4 high-impact capability categories referenced — verify least-privilege (CWE-272)
•External endpoints declared — 3 distinct host(s)
•External endpoints declared — 11 distinct host(s)
•Broad capability surface — 3 high-impact capability categories referenced — verify least-privilege (CWE-272)
•External endpoints declared — 4 distinct host(s)
•Egress to a private/loopback host — 127.0.0.1 (CWE-918)
•External endpoints declared — 12 distinct host(s)
•External endpoints declared — 21 distinct host(s)
•External endpoints declared — 6 distinct host(s)
•External endpoints declared — 7 distinct host(s)
•External endpoints declared — 5 distinct host(s)
•External endpoints declared — 8 distinct host(s)
•External endpoints declared — 9 distinct host(s)
•External endpoints declared — 14 distinct host(s)
•Egress to a private/loopback host — 192.168.1.1 (CWE-918)
•Egress to a private/loopback host — 127.0.0.1, [::1], 192.168.1.1 (CWE-918)
•Egress to a private/loopback host — 127.0.0.1, 127.0.0.2, 127.255.255.255, 10.0.0.1, 192.168.1.1, 172.16.0.1, 172.31.255.255, 169.254.169.254, 169.254.0.1, 0.0.0.0, [::1], [fe80::1], [fc00::1], 0.0.0.127, 0.0.0.1 (CWE-918)
•External endpoints declared — 20 distinct host(s)
•External endpoints declared — 10 distinct host(s)
⚠LLM07System Prompt Leakagehigh
Secrets, internal hosts or proprietary logic exposed in shipped prompts.
•Embedded credentials — found: hardcoded credential (CWE-798)
•Embedded credentials — found: AWS access key id, AWS secret key, hardcoded credential (CWE-798)
•Embedded credentials — found: AWS access key id, AWS secret key (CWE-798)
•Embedded credentials — found: DB connection string with credentials (CWE-798)
•Internal host / private infrastructure reference — shipped content references a private IP range or internal-only host (CWE-200)
•Embedded credentials — found: AWS access key id (CWE-798)
•Verified secret leak (deep scan) — 109 leak(s): generic-api-key (CWE-798)
✓LLM08Vector and Embedding WeaknessesPassed
PII or plaintext source leakage in embedding/vector exports.
Embedding inversion/poisoning is largely runtime; static check covers PII in vector exports.
§LLM09MisinformationGovernance
Artifacts designed to produce false/deceptive output.
Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.
⚠LLM10Unbounded Consumptionmedium
Unbounded loops/recursion causing DoS or runaway cost.
Enforced at runtime by the gateway (rate limits + spend caps + size caps); static check flags unbounded loops.
•Potentially unbounded loop — an infinite loop (while True / while(1) / for(;;)) may cause runaway consumption (CWE-835)
OWASP Machine Learning Security Top 10
§ML01Input Manipulation (Adversarial)Governance
Models vulnerable to adversarial perturbations.
Requires runtime robustness evaluation; addressed via publisher robustness attestation.
⚠ML02Data Poisoninghigh
Poisoned training datasets with triggers or anomalous distributions.
Static check covers trigger phrasing, PII and label skew; full poisoning detection is runtime.
•Prompt-injection phrasing — instruction-subversion language detected (CWE-77)
§ML03Model InversionGovernance
Training data reconstructable from a model's outputs.
Runtime/evaluation property; addressed via model-card data-provenance + DP attestation.
§ML04Membership InferenceGovernance
Determining whether a record was in the training set.
Runtime/evaluation property; addressed via overfitting disclosure + DP attestation.
✓ML05Model TheftPassed
Unlicensed re-distribution / license-incompatible derivatives.
Static check verifies license declaration; extraction throttling is runtime.
⚠ML06AI Supply Chaincritical
Compromised PyPI/npm packages, typosquats, unsafe serialized models.
•Dependency manifest — 117 pip requirements declared
•Dependency manifest — 162 pip requirements declared
•Dependency manifest — 81 pip requirements declared
•Dependency manifest — 479 pip requirements declared
•Dependency manifest — 13 npm dependencies declared
•Dependency manifest — 20 pip requirements declared
•Vulnerable dependencies — 2588 known vulnerabilities in: @ai-sdk/provider-utils@3.0.15, @babel/core@7.28.4, @babel/plugin-transform-modules-systemjs@7.27.1, ajv@6.12.6, ajv@8.17.1, brace-expansion@1.1.12, fast-uri@3.1.0, follow-redirects@1.15.11 (CWE-1395)
✓ML07Transfer Learning AttackPassed
Backdoored base models / LoRA adapters propagating to derivatives.
Backdoor detection needs behavioral probing; static check covers unsafe serialization + provenance.
§ML08Model SkewingGovernance
Models trained on skewed data producing biased output.
Requires fairness evaluation; addressed via model-card bias/limitations disclosure.
⚠ML09Output Integrityhigh
Middleware tampering with model outputs in transit.
Gateway enforces TLS + response integrity; static check flags output-rewriting code.
•Suspicious code patterns — pipe-to-shell install (CWE-494)
•Suspicious code patterns — dynamic code execution (CWE-95)
•Path traversal sequences — '../' present in content or name (CWE-22)
•Suspicious code patterns — OS command execution (CWE-78)
✓ML10Model Poisoning (Weights)Passed
Tampered model weight files; integrity must be verifiable.
Static check enforces safe formats + records a content hash for downstream verification.

Consume AWS MCP Servers programmatically. Authenticate with an API key or session — see Authorize an agent.

# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/aws-mcp-servers

# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/aws-mcp-servers/check \
  -H "Content-Type: application/json" \
  -d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'

# CLI
npx ai-supply add aws-mcp-servers

# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/aws-mcp-servers/install \
  -H "Authorization: Bearer $AIM_KEY"

# MCP tool
install_listing({ "slug": "aws-mcp-servers" })
OpenAPI spec →
vlatest
! Security: Review · 162h ago

Curated mirror — latest upstream source. See the repository for tagged releases.

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