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io.github.scka-de/opensanctions-mcp

NPM · OPENSANCTIONS-MCP · SCANNED AUG 3

Sanctions screening and PEP checks via OpenSanctions API for AI agents

Available components

+44 this week 68 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security87
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability70
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 954 tokens (~159/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
  • Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · opensanctions-mcp

# add to Claude Code
claude mcp add scka-de-opensanctions-mcp -- npx -y opensanctions-mcp
# add to Codex CLI
codex mcp add scka-de-opensanctions-mcp -- npx -y opensanctions-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "scka-de-opensanctions-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "opensanctions-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add scka-de-opensanctions-mcp --command npx --arg -y --arg opensanctions-mcp
# ~/.hermes/config.yaml
mcp_servers:
  scka-de-opensanctions-mcp:
    command: "npx"
    args: ["-y", "opensanctions-mcp"]
// mcp.json
{
  "mcpServers": {
    "scka-de-opensanctions-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "opensanctions-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

  • 2 Aug 26 +48
    • Provenance: unverified → fail security
    • Known CVEs: unverified → partial security
    • Install scripts: unverified → pass security
    • Malware scan: unverified → pass security
    • Security disclosure: fail → unverified functional
    • Tool coverage: 100 → unverified functional
    • MCP protocol: unverified → pass functional
    • Maintenance: unverified → pass functional
    • Stability: unverified → 0.20 functional
    • Dependency health: unverified → partial functional
    • License: unverified → pass functional
    • Schema quality: unverified → excellent functional
    • Licence: MIT functional
  • 1 Aug 26 +14
    • Tool coverage: unverified → 100 functional
  • 31 Jul 26 −39
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 28 Jul 26 +20
    • Tool coverage: unverified → 100 functional
    • First check of Schema quality: unverified functional
    • First check of Schema quality: fail functional
    • First check of Schema quality: fail functional
    • First check of Tool coverage: 100 functional
  • 27 Jul 26 24

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed npm/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 95 packages

95 packages in the resolved dependency tree · 95 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 6 exposed · ~954 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
get_dataset ~75

Get full details about a specific dataset: description, publisher, entity count, last updated, and coverage information. No API key required. Use list_datasets first to find dataset names, then this tool for details.

NameTypeReqDescription
namestringyesDataset name (e.g. "us_ofac_sdn", "eu_fsf")

No output schema declared.

No examples provided.

get_entity ~109

Fetch complete details for a specific entity by ID, including all properties, dataset memberships, and relationships to other entities. Use this after finding an entity via search or match to get the full picture: aliases, addresses, birth dates, related companies, family members, associates. Relationships come from the OpenSanctions knowledge graph. Types include: ownershipOwner, familyRelative, associate, directorshipDirector, and more.

NameTypeReqDescription
entityIdstringyesOpenSanctions entity ID (e.g. NK-...)

No output schema declared.

No examples provided.

investigate_entity ~255

Run a multi-step compliance investigation on a person or company. This is the most powerful tool — it combines matching, entity details, and relationship traversal in one call. Steps: (1) Match the name against sanctions/PEP lists, (2) Fetch full details and relationships for top matches, (3) Return structured data with scores, datasets, and connected entities. Returns data only — no risk judgments. You (the AI) should interpret the scores, dataset memberships, and relationships to provide context to the user. Requires both name and schema (Person/Company). Provide additional properties like birthDate or nationality for better match precision.

NameTypeReqDescription
birthDatestringISO date (Person only, improves match precision)
datasetstringSpecific dataset to screen against
jurisdictionstringISO country code (Company only)
max_matchesnumberMax matches to investigate in detail (default: 3)
namestringyesEntity name to investigate
nationalitystringISO country code (Person only)
schemastringyesEntity type
thresholdnumberMinimum match score 0.0-1.0 (default: 0.7)

No output schema declared.

No examples provided.

list_datasets ~127

List available sanctions and PEP datasets in OpenSanctions. No API key required. Returns dataset names, titles, summaries, and entity counts. Use the optional query parameter to filter. Examples of datasets: "us_ofac_sdn" (US OFAC), "eu_fsf" (EU Financial Sanctions), "un_sc_sanctions" (UN Security Council), "gb_hmt_sanctions" (UK HMT).

NameTypeReqDescription
querystringFilter datasets by name, title, or summary (e.g. "ofac", "eu", "pep")

No output schema declared.

No examples provided.

match_entity ~227

Screen a person or company against sanctions and PEP (Politically Exposed Person) lists using structured properties. This is the primary screening tool. Provide a schema type and properties for precise matching. The matching algorithm uses name comparison, birth dates, nationalities, and identifiers for scoring. Scores: 0.0-1.0. Above 0.9 = very high confidence match. 0.7-0.9 = likely match, investigate further. Below 0.7 = possible but uncertain. PEP = Politically Exposed Person (senior government officials, their families, close associates). PEP status appears in the "topics" property as "role.pep".

NameTypeReqDescription
datasetstringScreen against a specific dataset. Defaults to all.
propertiesobjectyesEntity properties. Required: "name". Optional for Person: "birthDate", "nationality", "idNumber", "gender". Optional for Company: "jurisdiction", "registrationNumber", "incorporationDate".
schemastringyesEntity type to match against

No output schema declared.

No examples provided.

search_entities ~161

Search the OpenSanctions database by name or keyword. Returns matching entities ordered by relevance. Use this for exploratory queries: "find entities named Goldman", "search for companies in Russia". For formal sanctions screening with confidence scores, use match_entity instead. Results include entity type, datasets (which sanctions lists), and properties. For numeric match scores, use match_entity.

NameTypeReqDescription
datasetstringScreen against a specific dataset (e.g. "us_ofac_sdn"). Defaults to all datasets.
limitnumberMax results to return (default: 20)
querystringyesName or keyword to search for
schemastringFilter by entity type: "Person", "Company", "LegalEntity", "Organization"

No output schema declared.

No examples provided.