cml-mcp
PyPI
v0.31.2
Published by xorrkaz — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
Cisco Modeling Labs (CML) MCP Server
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Each tool and what it can reach — statically extracted from the published source.
download_lab_topologyingests untrusted inputget_packet_capture_dataingests untrusted inputadd_ellipse_annotationno sensitive capabilityadd_interface_to_nodeno sensitive capabilityadd_line_annotationno sensitive capabilityadd_node_to_cml_labno sensitive capabilityadd_rectangle_annotationno sensitive capabilityadd_text_annotationno sensitive capabilityapply_link_conditioningno sensitive capabilitycheck_packet_capture_statusno sensitive capabilityclone_cml_labno sensitive capabilityconfigure_cml_nodeno sensitive capabilityconnect_two_nodesno sensitive capabilitycreate_cml_groupno sensitive capabilitycreate_cml_userno sensitive capabilitycreate_empty_labno sensitive capabilitycreate_full_lab_topologyno sensitive capabilitydelete_annotation_from_labno sensitive capabilitydelete_cml_groupno sensitive capabilitydelete_cml_labno sensitive capabilitydelete_cml_nodeno sensitive capabilitydelete_cml_userno sensitive capabilityget_all_links_for_labno sensitive capabilityget_annotations_for_cml_labno sensitive capabilityget_captured_packet_overviewno sensitive capabilityget_cml_groupsno sensitive capabilityget_cml_informationno sensitive capabilityget_cml_lab_by_titleno sensitive capabilityget_cml_labsno sensitive capabilityget_cml_licensing_detailsno sensitive capabilityget_cml_node_definitionsno sensitive capabilityget_cml_statisticsno sensitive capabilityget_cml_statusno sensitive capabilityget_cml_usersno sensitive capabilityget_console_logno sensitive capabilityget_interfaces_for_nodeno sensitive capabilityget_node_definition_detailno sensitive capabilityget_nodes_for_cml_labno sensitive capabilitymodify_cml_labno sensitive capabilitysend_cli_commandno sensitive capabilityset_cml_lab_permissionsno sensitive capabilitystart_cml_labno sensitive capabilitystart_cml_linkno sensitive capabilitystart_cml_nodeno sensitive capabilitystart_packet_captureno sensitive capabilitystop_cml_labno sensitive capabilitystop_cml_linkno sensitive capabilitystop_cml_nodeno sensitive capabilitystop_packet_captureno sensitive capabilitywipe_cml_labno sensitive capabilitywipe_cml_nodeno sensitive capabilityScan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.31.2 latest |
A 96/100 | 0 | 1.13.0 | 2026-09-06 |
v0.31.1 |
A 96/100 | 0 | 1.13.0 | 2026-08-27 |
v0.31.0 |
A 96/100 | 0 | 1.13.0 | 2026-08-25 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
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