Skills/PyPI/mcp-s3-server

mcp-s3-server@0.1.3

CAUTION· static only

Publisher claims: "An implementation of a Model Context Protocol (MCP) server for AWS S3, enabling AI models, particularly Large Language Models (LLMs), to securely interact with S3 buckets." Observed in sandbox: static analysis only — behavior not yet observed.

Registry PyPI (MCP server)Publisher engrzulqarnain · publishing for 434 daysInstalls 21Last detonated 6d ago

Coverage

Static only; nothing was run yet.

The label rests on the code, the instruction files and the publisher. The honeypot run replaces this verdict when it completes.

Before you give it your token

It will ask for
AWS_ACCESS_KEY_IDAWS_SECRET_ACCESS_KEYAWS_SESSION_TOKENConfiguration, not credentials: AWS_DEFAULT_REGION, S3_ENDPOINT_URL
Where it talks to
no vendor host named in the codeAlso digitaloceanspaces.com, appdomain.cloud — not the publisher's domain; check what for before connecting.
What the honeypot saw
nothing has run yet
What we could not test
everything: the server has not run yet

Run it before you trust it. Nothing has run yet: the code was read, the server was not. `vet-skills try` runs this exact version in the honeypot in about a minute.

Never paste a credential into a chat, a ticket or a report, including ours. How the guard holds it.

Is [email protected] safe to install?

KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-08 and scored it 63/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Notable findings: References a credential file in the home directory; Access to sensitive file paths. Summary: static analysis only — behavior not yet observed.

Behavior trace

Queued for honeypot run · static analysis only
t+CategoryObserved action

This version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.

Static findings

HIGH
References a credential file in the home directorysrc/mcp_s3_server/tools/list_buckets_tool.py:76 · References a credential file in the home directory…onfig\n2. For S3-compatible services, also set S3_ENDPOINT_URL\n3. Or configure ~/.aws/credentials (for AWS S3 only)" )] except ClientError as e: error_code …Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
AST03
HIGH
Access to sensitive file pathssrc/mcp_s3_server/tools/list_buckets_tool.py:76 · Access to sensitive file paths — SSH keys, AWS credentials, env files, or system files…onfig\n2. For S3-compatible services, also set S3_ENDPOINT_URL\n3. Or configure ~/.aws/credentials (for AWS S3 only)" )] except ClientError as e: …Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
AST05

Cost to the agent

Instructions loaded
≈80 tok
1 file · 22 in bundle

Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.

Known vulnerabilities

No advisories in OSV for mcp-s3-server@0.1.3 as of 6d ago. This is the package itself, not its dependencies.

What would make this Verified

17 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%
  1. Unclaimed publisher≈ +8 on the totalClaim engrzulqarnain: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
  2. References a credential file in the home directory≈ +4 on the totalStop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
  3. Access to sensitive file paths≈ +4 on the totalStop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
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