nextmcp@1.0.0
VERIFIED· not startedPublisher claims: "Enables AI agents to prepare, launch, monitor, inspect, and recover existing Nextflow workflows through MCP tools, while client-side expert skills guide pipeline-specific input selection, parameters, QC, and troubleshooting." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Not started: dependency install failed; the server itself was not observed.- Tested
- the dependency install step · every file read, file written and host contacted by what ran
- Not tested
- server startup · the tool list · tool behavior
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
- no credential variables read in the code
- Where it talks to
- no vendor host named in the code
- What the honeypot saw
- no credential files read · no network
- What we could not test
- server startup · the tool list · tool behavior
Connect it under the guard. Not started: dependency install failed; the server itself was not observed. The code names no credential variable; the guard pins the network to what the honeypot saw and logs every call.
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; not started: dependency install failed; the server itself was not observed) on 2026-11-12 and scored it 88/100 (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 deviationsStatic findings
…d exist on the server. Use placeholders such as `<server_input_root>/samplesheet.csv`, `<server_reference_root>/genome.fa`, and `<server_output_root>/methylseq`. ## Fast Start 1. Read `assets/playbooks.yaml` and choose th…Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.proc = subprocess.Popen(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.summary: Preserves the original `nextflow_schema.json` top-level section `input_output_options`Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.- missing `output_checks.json` -> cannot judge `required_outputs_present`Fix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.…wer grounded in artifact-contracts.yaml that names MultiQC, pipeline_info/params.json, STAR alignment, riboseq QC, ORF predictions, Salmon quantification, translational efficiency when applicable, and reference outputs when save_reference …Fix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.runner = subprocess.Popen(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.…oled FASTQ at /data/run1/reads.fastq.gz, a samplesheet at /data/run1/samplesheet.csv, protocol DNA, barcode kit NBD103/NBD104, and project my-project. Return the nextflow_run params shape and the outputs to review.", "expected_output": "A …Fix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.Cost to the agent
Tokens estimated at four characters each. The tool list is re-read by the agent on every turn, so it is the number to compare between servers that do the same job: ranked across the index.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.