Gephi MCP Server

gephi-mcp PyPI v1.11.0

Published by mattartzanthro — 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.

Trust grade
A
96/100
Last scanned get badge →
Trust
A · 96/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
Moderate
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 96/100

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:

PointsAdoption-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.

Findings 2

medium Untrusted input can drive an external actionMTC-FLOW-005

Untrusted-input tools ([gephi_extract_backbone]) co-exist with external-action tools ([gephi_open_project]). A prompt injection could cause unwanted external actions, though no direct sensitive-data leak path was found.

Evidence: untrusted [gephi_extract_backbone] → sinks [gephi_open_project]

Fix: Require confirmation for state-changing/egress actions triggered after processing untrusted content.

Location: flow gephi_extract_backbone → gephi_open_project

low Dynamic module load from a non-literal in packaging/dev tooling (gephi_mcp_viewer/assets/graphology.umd.min.js)MTC-SRC-005

In a packaging/dev/install script (shipped, but not the server runtime) (`gephi_mcp_viewer/assets/graphology.umd.min.js:1`): Loading a module chosen at runtime (from a variable) can pull in and run attacker-influenced code paths. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: ,n),i=new t(r);return i.import(e),i}}return Ut(xt),Ut(Et),Ut(At),Ut(Lt),Ut(St),Ut(Dt),xt.Graph=xt,xt.DirectedGraph=Et,xt

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 gephi_mcp_viewer/assets/graphology.umd.min.js

Tools 105

Each tool and what it can reach — statically extracted from the published source.

  • gephi_extract_backboneingests untrusted input
  • gephi_open_projectnetwork egress
  • gephi_add_columnno sensitive capability
  • gephi_add_edgeno sensitive capability
  • gephi_add_edgesno sensitive capability
  • gephi_add_nodeno sensitive capability
  • gephi_add_nodesno sensitive capability
  • gephi_apply_filterno sensitive capability
  • gephi_batch_set_node_attributesno sensitive capability
  • gephi_batch_set_node_colorsno sensitive capability
Show 95 more tools ↓
  • gephi_batch_set_positionsno sensitive capability
  • gephi_bulk_remove_nodesno sensitive capability
  • gephi_clear_graphno sensitive capability
  • gephi_color_by_partitionno sensitive capability
  • gephi_color_by_rankingno sensitive capability
  • gephi_color_edges_by_partitionno sensitive capability
  • gephi_column_value_frequenciesno sensitive capability
  • gephi_community_layoutno sensitive capability
  • gephi_compare_nodesno sensitive capability
  • gephi_compute_avg_path_lengthno sensitive capability
  • gephi_compute_betweennessno sensitive capability
  • gephi_compute_clustering_coefficientno sensitive capability
  • gephi_compute_connected_componentsno sensitive capability
  • gephi_compute_degreeno sensitive capability
  • gephi_compute_eigenvectorno sensitive capability
  • gephi_compute_hitsno sensitive capability
  • gephi_compute_modularityno sensitive capability
  • gephi_compute_pagerankno sensitive capability
  • gephi_create_projectno sensitive capability
  • gephi_create_regex_columnno sensitive capability
  • gephi_delete_workspaceno sensitive capability
  • gephi_detect_duplicatesno sensitive capability
  • gephi_duplicate_workspaceno sensitive capability
  • gephi_edge_thickness_by_weightno sensitive capability
  • gephi_exportno sensitive capability
  • gephi_export_csvno sensitive capability
  • gephi_export_gexfno sensitive capability
  • gephi_export_graphmlno sensitive capability
  • gephi_export_pdfno sensitive capability
  • gephi_export_pngno sensitive capability
  • gephi_export_screenshotno sensitive capability
  • gephi_export_svgno sensitive capability
  • gephi_extract_ego_networkno sensitive capability
  • gephi_extract_giant_componentno sensitive capability
  • gephi_filter_by_degreeno sensitive capability
  • gephi_filter_by_edge_weightno sensitive capability
  • gephi_focus_viewno sensitive capability
  • gephi_get_available_layoutsno sensitive capability
  • gephi_get_columnsno sensitive capability
  • gephi_get_graph_statsno sensitive capability
  • gephi_get_graph_typeno sensitive capability
  • gephi_get_layout_propertiesno sensitive capability
  • gephi_get_layout_statusno sensitive capability
  • gephi_get_nodeno sensitive capability
  • gephi_get_perspectiveno sensitive capability
  • gephi_get_preview_settingsno sensitive capability
  • gephi_get_project_infono sensitive capability
  • gephi_get_selectionno sensitive capability
  • gephi_get_timelineno sensitive capability
  • gephi_health_checkno sensitive capability
  • gephi_import_csvno sensitive capability
  • gephi_import_fileno sensitive capability
  • gephi_import_gexfno sensitive capability
  • gephi_import_graphmlno sensitive capability
  • gephi_label_clustersno sensitive capability
  • gephi_list_filtersno sensitive capability
  • gephi_list_statisticsno sensitive capability
  • gephi_list_workspacesno sensitive capability
  • gephi_merge_nodesno sensitive capability
  • gephi_new_workspaceno sensitive capability
  • gephi_profile_graphno sensitive capability
  • gephi_query_edgesno sensitive capability
  • gephi_query_nodesno sensitive capability
  • gephi_remove_edgeno sensitive capability
  • gephi_remove_isolatesno sensitive capability
  • gephi_remove_nodeno sensitive capability
  • gephi_rename_workspaceno sensitive capability
  • gephi_reset_appearanceno sensitive capability
  • gephi_reset_filtersno sensitive capability
  • gephi_run_layoutno sensitive capability
  • gephi_run_statisticno sensitive capability
  • gephi_save_projectno sensitive capability
  • gephi_set_edge_attributesno sensitive capability
  • gephi_set_edge_colorno sensitive capability
  • gephi_set_edge_labelno sensitive capability
  • gephi_set_edge_weightno sensitive capability
  • gephi_set_layout_propertiesno sensitive capability
  • gephi_set_node_attributesno sensitive capability
  • gephi_set_node_colorno sensitive capability
  • gephi_set_node_labelno sensitive capability
  • gephi_set_node_positionno sensitive capability
  • gephi_set_node_sizeno sensitive capability
  • gephi_set_preview_settingsno sensitive capability
  • gephi_set_selection_modeno sensitive capability
  • gephi_similarity_layoutno sensitive capability
  • gephi_size_by_rankingno sensitive capability
  • gephi_snapshotno sensitive capability
  • gephi_stop_layoutno sensitive capability
  • gephi_switch_perspectiveno sensitive capability
  • gephi_switch_workspaceno sensitive capability
  • gephi_text_to_networkno sensitive capability
  • gephi_undono sensitive capability
  • gephi_view_graphno sensitive capability
  • gephi_visual_qano sensitive capability
  • gephi_whatifno sensitive capability

Toxic flows 1

Cross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).

What this scan could not see

Versions 1

Scan 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.

VersionScoreFindingsEngineScanned
v1.11.0 latest A 96/100 2 1.9.0 2026-07-23

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MCP Trust Score: A · 96/100
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Verify this score yourself

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 gephi-mcp --online --registry pypi

Use the free API → How scoring works

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