Skills/PyPI/mcp-serve

mcp-serve@0.0.19

VERIFIED· install only

Publisher claims: "Agentic server to support MCP tools for science" Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry PyPI (MCP server)Publisher converged-computing · publishing for 331 daysInstalls 23Last detonated 6d ago
$claude mcp add mcp-serve -- uvx mcp-serve
WatchReport an issue

Coverage

Install scripts ran; no agent task scenario for this bundle.
Tested
install scripts, with decoy credentials in place · second launch with the clock 45 days ahead · every file read, file written and host contacted by what ran
Not tested
use of the skill by an agent

What this means for the label: Verified here covers what ran. The server's tools were not exercised with a real credential, so nothing about their behavior is asserted; the credential summary below says what to do with that.

Before you give it your token

It will ask for
MCP_HUB_SECRETMCPSERVER_JOIN_SECRETMCPSERVER_TOKENRESOURCE_SECRETARY_API_BASERESOURCE_SECRETARY_LLMRESOURCE_SECRETARY_MODEL or --hub-secret / --join-secretConfiguration, not credentials: MCPSERVER_HOST, MCPSERVER_PATH, MCPSERVER_PORT, MESSAGELEVEL
Where it talks to
no vendor host named in the codeAlso built.careers, flux-framework.org — not the publisher's domain; check what for before connecting.
What the honeypot saw
no credential files read · no network
What we could not test
use of the skill by an agent

Connect it with a scoped credential, under the guard, and read the third-party hosts first. The code names built.careers, flux-framework.org as well as its own vendor. The guard injects MCP_HUB_SECRET, MCPSERVER_JOIN_SECRET, MCPSERVER_TOKEN, RESOURCE_SECRETARY_API_BASE, RESOURCE_SECRETARY_LLM, RESOURCE_SECRETARY_MODEL only into requests to the host you bind (and its subdomains) and refuses the rest.

$vet-skills run --net declared -- uvx mcp-serve

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 ran it in the KillerSkills honeypot sandbox (2 scenarios; install scripts ran; no agent task scenario for this bundle) on 2026-11-09 and scored it 93/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.

Behavior trace

Honeypot run · 0 s · 2 scenarios · 0 deviations
t+CategoryObserved action
0.0sprocessexited 1: ModuleNotFoundError: No module named 'setuptools'
0.0sprocessscript backend runs setup only
0.1sprocessscript backend runs setup only
0.1sprocesssecond launch, clock +45 days, CI unset
0.1sprocessexited 1: ModuleNotFoundError: No module named 'setuptools'

Static findings

MEDIUM
Python subprocess execution detectedmcpserver/utils/fileio.py:188 · Python subprocess execution detectedoutput = subprocess.Popen(cmd, stderr=subprocess.STDOUT, stdout=stdout, env=os.environ.copy())Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05

No other findings across 6,159 lines in 68 files.

Cost to the agent

Instructions loaded
≈47 tok
1 file · 68 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-serve@0.0.19 as of 5d ago. This is the package itself, not its dependencies.