Serbian Data MCP Server

serbian-data-mcp PyPI v0.1.0

Published by acailic — 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.

MCP server for Serbian open data portal (data.gov.rs) with visualization capabilities

Trust grade
A
93/100
Last scanned get badge →
Trust
A · 93/100
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
High
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 = 93/100

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 − 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:

PointsAdoption-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.

Findings 1

critical Completed toxic-flow trifecta across toolsMTC-FLOW-002

This server (without client built-ins) exposes a complete data-exfiltration chain: browse_recent_datasets → export_data → export_to_datawrapper. Untrusted input is ingested, private data is read, and it can be sent to an external sink via the agent composing the tools (→). Static analysis proves the primitive exists, not that a specific run will occur.

Fix: Remove one leg of the trifecta: isolate untrusted-input tools from secret-reading tools and from egress tools, or require human approval between them.

Location: flow browse_recent_datasets → export_data → export_to_datawrapper

Tools 41

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

  • browse_recent_datasetsingests untrusted input
  • compare_datasetsingests untrusted input
  • export_datareads sensitive data
  • export_to_datawrappernetwork egress
  • get_data_summaryingests untrusted input
  • get_dataset_resourcesingests untrusted input
  • get_resource_dataingests untrusted input
  • preview_datasetingests untrusted input
  • aggregate_data_toolno sensitive capability
  • apply_chart_themeno sensitive capability
Show 31 more tools ↓
  • build_dashboardno sensitive capability
  • build_infographicno sensitive capability
  • compute_metricsno sensitive capability
  • create_advanced_visualizationno sensitive capability
  • create_animated_chartno sensitive capability
  • create_arrow_chartno sensitive capability
  • create_dumbbell_chartno sensitive capability
  • create_scrollytelling_storyno sensitive capability
  • create_serbia_mapno sensitive capability
  • create_visualizationno sensitive capability
  • data_profileno sensitive capability
  • enhance_chart_tooltipsno sensitive capability
  • export_visualizationno sensitive capability
  • extract_data_insightsno sensitive capability
  • filter_data_toolno sensitive capability
  • generate_data_narrativeno sensitive capability
  • get_catalog_statsno sensitive capability
  • get_config_toolno sensitive capability
  • get_datasetno sensitive capability
  • get_portal_statisticsno sensitive capability
  • group_data_toolno sensitive capability
  • health_checkno sensitive capability
  • intelligent_searchno sensitive capability
  • list_organizationsno sensitive capability
  • list_serbia_districtsno sensitive capability
  • refresh_catalogno sensitive capability
  • search_by_tagno sensitive capability
  • search_datasetsno sensitive capability
  • select_columns_toolno sensitive capability
  • sort_data_toolno sensitive capability
  • suggest_datasetsno 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
v0.1.0 latest A 93/100 1 1.13.0 2026-08-25

Embed this score

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.

MCP Trust Score: A · 93/100
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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 serbian-data-mcp --online --registry pypi

Use the free API → How scoring works

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