powerbi-mcp-designer
PyPI
v0.2.1
Published by dbru540 — 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.
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 − 7 = 93. 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 |
|---|---|
| −6 | capability blast radius (high) — 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.
In the server's implementation (`powerbi_mcp/visual_ai/qa_loop.py:102`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: try: process = subprocess.Popen( # noqa: S603 - user-supplied local executable path is intentional here.
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server powerbi_mcp/visual_ai/qa_loop.py
Each tool and what it can reach — statically extracted from the published source.
get_pageingests untrusted inputreport_get_pageingests untrusted inputapply_visual_styleno sensitive capabilitybatch_update_visual_titles_by_typeno sensitive capabilityclone_visual_styleno sensitive capabilitycopy_visualno sensitive capabilitycreate_bar_chartno sensitive capabilitycreate_cardno sensitive capabilitycreate_deneb_visualno sensitive capabilitycreate_line_chartno sensitive capabilitycreate_pageno sensitive capabilitycreate_pie_chartno sensitive capabilitycreate_slicerno sensitive capabilitycreate_tableno sensitive capabilitycreate_visualno sensitive capabilitycustom_visual_eligibilityno sensitive capabilitydelete_pageno sensitive capabilitydelete_visualno sensitive capabilityduplicate_pageno sensitive capabilityextract_visual_configno sensitive capabilityfind_report_objects_by_model_referenceno sensitive capabilityfind_unused_measuresno sensitive capabilityfind_visuals_by_typeno sensitive capabilityget_powerbi_modeling_mcp_interop_guidanceno sensitive capabilityget_project_infono sensitive capabilityget_table_contentno sensitive capabilityget_visualno sensitive capabilityget_visual_propertyno sensitive capabilityget_visual_types_summaryno sensitive capabilityimpact_of_model_referenceno sensitive capabilitylist_pagesno sensitive capabilitylist_reportsno sensitive capabilitylist_tablesno sensitive capabilitylist_visual_propertiesno sensitive capabilitylist_visualsno sensitive capabilitymodel_create_relationshipno sensitive capabilitymodel_create_tableno sensitive capabilitymodel_get_summaryno sensitive capabilitymodel_list_measuresno sensitive capabilitymodel_list_relationshipsno sensitive capabilitymodel_list_tablesno sensitive capabilitymodel_update_column_metadatano sensitive capabilitymodel_update_table_descriptionno sensitive capabilitymodel_upsert_measureno sensitive capabilitymodel_upsert_roleno sensitive capabilitymodel_validateno sensitive capabilitypage_design_action_planno sensitive capabilitypage_design_apply_quick_winsno sensitive capabilitypage_design_auditno sensitive capabilitypage_design_improve_planno sensitive capabilitypage_layout_action_planno sensitive capabilitypage_layout_analyzeno sensitive capabilitypage_layout_apply_quick_winsno sensitive capabilitypage_layout_apply_reflow_planno sensitive capabilitypage_layout_blueprint_generateno sensitive capabilitypage_layout_recommendno sensitive capabilitypage_layout_reflow_planno sensitive capabilityproject_get_summaryno sensitive capabilityproject_validateno sensitive capabilityrename_pageno sensitive capabilityreport_create_from_datasource_specno sensitive capabilityreport_design_apply_quick_winsno sensitive capabilityreport_design_auditno sensitive capabilityreport_design_brief_generateno sensitive capabilityreport_design_desktop_evidence_summaryno sensitive capabilityreport_design_improve_planno sensitive capabilityreport_design_readiness_checkno sensitive capabilityreport_design_studio_planno sensitive capabilityreport_design_visual_qa_loopno sensitive capabilityreport_get_summaryno sensitive capabilityreport_get_visualno sensitive capabilityreport_get_visual_bindingsno sensitive capabilityreport_layout_apply_quick_winsno sensitive capabilityreport_list_pagesno sensitive capabilityreport_list_visualsno sensitive capabilityreport_validateno sensitive capabilityset_visual_propertyno sensitive capabilityupdate_page_sizeno sensitive capabilityupdate_visual_jsonno sensitive capabilityupdate_visual_positionno sensitive capabilityupdate_visual_titleno sensitive capabilityvisual_catalog_listno sensitive capabilityvisual_design_auditno sensitive capabilityvisual_examples_listno sensitive capabilityvisual_plan_applyno sensitive capabilityvisual_plan_generateno sensitive capabilityvisual_plan_generate_and_applyno sensitive capabilityvisual_requirements_checkno sensitive capabilityvisual_role_examplesno sensitive capabilityvisual_template_libraryno sensitive capabilityvisual_template_recommendno sensitive capabilityvisual_vocabulary_classifyno 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 |
|---|---|---|---|---|
v0.2.1 latest |
A 93/100 | 1 | 1.9.0 | 2026-07-23 |
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.
npx mcptrustchecker scan powerbi-mcp-designer --online --registry pypi
Security scan results for the 1stay MCP server.
Security scan results for the Adguard Home MCP server.
Security scan results for the Ado Browser MCP server.
Security scan results for the Adobe Experience Dev MCP server.
Security scan results for the Aemet MCP server.
Security scan results for the Affinity Mcp Bridge MCP server.