Combien d'outils expose io.github.beepboop2025/narcoscope ?

io.github.beepboop2025/narcoscope expose 14 outil(s). Le coût de contexte pour les charger tous est d'environ 21264 tokens (coût unique au chargement, pas par appel).

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io.github.beepboop2025/narcoscope

serveur MCP (Model Context Protocol) · narcoscope 1.6.0

▸ Dev & Code

[ Non encore testé ]

Verdict MCP Hub
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.

streamable-httpType / transport

directAccès

~21264 tokensCoût de contexte

14Outils

Est-ce que io.github.beepboop2025/narcoscope est sûr ?

Au dernier audit MCP Hub, le serveur MCP « io.github.beepboop2025/narcoscope » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 14 outils

get_atlas≈ 2653 tokens
Return country-year organized-crime and firearms-tracing observations with source metadata, native caveats, explicit null fields, and stable cursor pagination. No records identify people or operational locations.
Paramètres, retour & exemple (5)
Paramètres
- iso3 · string · optionnel
- year · integer · optionnel
- limit · integer · optionnel
- cursor · string · optionnel
- domain · string · optionnel · all | firearms_tracing | organized_crime
Exemple d'appel
```
{"name": "get_atlas", "arguments": {"iso3": "texte", "year": 1, "limit": 1, "cursor": "texte", "domain": "all"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"page": {}, "query": {}, "schema": "texte", "status": "available", "records": [], "sources": [], "limitations": []}}
```
get_connected_research≈ 623 tokens
Return source-linked China economic findings, CPEC, Balochistan, BRI and Myanmar research questions, reporting metadata, and dated national indicators. Optional hash-bound observatory summaries add economic histories, EU-reported trade and official methodology cases. SAFE quantities remain private. Country and theme context only; gaps do not establish concealment, actor relationships or causality.
Paramètres, retour & exemple (0)
Exemple d'appel
```
{"name": "get_connected_research", "arguments": {}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": {}, "schema": "texte", "sha256": "texte", "source_url": "texte"}}
```
get_entities≈ 1154 tokens
Return approved public designation identity fields only. A designation is an administrative action, not an adjudication or proof of guilt; aliases, addresses, dates of birth, identity documents, and allegation text are withheld.
Paramètres, retour & exemple (6)
Paramètres
- limit · integer · optionnel
- query · string · optionnel
- cursor · string · optionnel
- country · string · optionnel
- program · string · optionnel · ILLICIT-DRUGS-EO14059 | SDNT | SDNTK | TCO
- entity_type · string · optionnel · aircraft | individual | organization | vessel
Exemple d'appel
```
{"name": "get_entities", "arguments": {"limit": 1, "query": "texte", "cursor": "texte", "country": "texte", "program": "ILLICIT-DRUGS-EO14059", "entity_type": "aircraft"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"page": {}, "error": "texte", "query": {}, "schema": "texte", "source": "texte", "status": "available", "privacy": {}, "records": [], "disclaimer": "texte"}}
```
get_federation≈ 1011 tokens
Return bounded public money-market, capital-market, BRI, or publication-rights context without cross-lane scoring, composites, causal inference, or culpability inference. Upstream unavailability stays typed.
Paramètres, retour & exemple (1)
Paramètres
- lane · string · optionnel · all | palimpsest-bri | palimpsest-newswire-rights | seiche-capital-markets | seiche-global-money-atlas | seiche-money-markets | seiche-summary
Exemple d'appel
```
{"name": "get_federation", "arguments": {"lane": "all"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"lanes": [], "query": {}, "policy": {}, "schema": "texte", "status": "available", "limitations": [], "retrieved_at": "texte"}}
```
get_market_catalog≈ 2807 tokens
Page drugs, arms and informal-economy indicators (page/limit, maximum 4), with native units, full coverage totals and licenses for sources on the page. Country/category/subgroup/selection lists have independent dimensionPagination; follow dimensionPage with the same dataset/indicator filters (dimensionLimit maximum 50). Retain dataset hashes across pages. Legacy atlas and prices remain distinct resources.
Paramètres, retour & exemple (6)
Paramètres
- page · integer · optionnel
- limit · integer · optionnel
- dataset · string · optionnel · global-drugs | global-arms-economy
- indicator · string · optionnel
- dimensionPage · integer · optionnel
- dimensionLimit · integer · optionnel
Exemple d'appel
```
{"name": "get_market_catalog", "arguments": {"page": 1, "limit": 1, "dataset": "global-drugs", "indicator": "texte", "dimensionPage": 1, "dimensionLimit": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"schema": "texte", "status": "available", "filters": {}, "datasets": [], "pagination": {}, "generatedAt": "texte", "limitations": [], "relatedResources": [], "unavailableDatasets": []}}
```
get_newsroom≈ 834 tokens
List current deterministic analyses with citations, correction metadata, publication gates, and explicit evidence limits.
Paramètres, retour & exemple (1)
Paramètres
- limit · integer · optionnel
Exemple d'appel
```
{"name": "get_newsroom", "arguments": {"limit": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"feeds": {}, "title": "texte", "schema": "texte", "articles": [], "generated_at": "texte", "verification": {}}}
```

get_overview≈ 803 tokens

Return bounded headline aggregates across official prices, seizures, overdose mortality, wastewater, and public designations.

Paramètres, retour & exemple (0)

Exemple d'appel

{"name": "get_overview", "arguments": {}}

Exemple de retour

{"content": [{"type": "text", "text": "…"}], "structuredContent": {"note": "texte", "schema": "texte", "headline": {}, "divergences": [], "generated_at": "texte", "interpretation": [], "designation_programs": [], "overdose_by_substance": [], "top_seizure_countries": []}}

get_palimpsest_bri_context≈ 4250 tokens
Return pinned source readiness and national WDI coverage for CPEC, Gwadar, CMEC, Kyaukpyu, and Balochistan as a parallel context lane. Cross-lane drug, actor, route, guilt, political, project, causal, tactical, and navigable inference or use is prohibited.
Paramètres, retour & exemple (0)
Exemple d'appel
```
{"name": "get_palimpsest_bri_context", "arguments": {}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "links": {}, "schema": "texte", "interpretation": "texte"}}
```

get_palimpsest_bridge≈ 3277 tokens

Return the official-only China aggregate shared with the Intelligence Commons, including disclosure and causal boundaries.

Paramètres, retour & exemple (0)

Exemple d'appel

{"name": "get_palimpsest_bridge", "arguments": {}}

Exemple de retour

{"content": [{"type": "text", "text": "…"}], "structuredContent": {"$schema": "texte", "dataAsOf": "texte", "datasets": {}, "geography": {}, "artifactId": "texte", "disclosure": {}, "exclusions": [], "limitations": [], "canonicalUrl": "texte", "schemaVersion": "texte", "interpretation": "texte"}}

get_palimpsest_corridors≈ 2162 tokens

Return official country-level China, Pakistan, and Myanmar aggregates with missing-data, provenance, disclosure, and geography-and-time-only join rules.

Paramètres, retour & exemple (0)

Exemple d'appel

{"name": "get_palimpsest_corridors", "arguments": {}}

Exemple de retour

{"content": [{"type": "text", "text": "…"}], "structuredContent": {"$schema": "texte", "dataAsOf": "texte", "datasets": {}, "artifactId": "texte", "disclosure": {}, "exclusions": [], "geographies": [], "limitations": "texte", "canonicalUrl": "texte", "schemaVersion": "texte", "interpretation": "texte"}}

get_story≈ 619 tokens
Fetch one story as metadata, a machine brief, or the cited dossier. Use the machine brief first for agent workflows.
Paramètres, retour & exemple (2)
Paramètres
- slug · string · requis
- artifact · string · optionnel · metadata | machine-brief | dossier
Exemple d'appel
```
{"name": "get_story", "arguments": {"slug": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"schema": "texte", "article": {}, "content": {}, "artifact": "metadata"}}
```

list_capabilities≈ 689 tokens

List the evidence explorer, newsroom, API, feeds, MCP tools, audiences, and safety boundaries.

Paramètres, retour & exemple (0)

Exemple d'appel

{"name": "list_capabilities", "arguments": {}}

Exemple de retour

{"content": [{"type": "text", "text": "…"}], "structuredContent": {"api": {}, "mcp": {}, "feeds": {}, "schema": "texte", "product": {}, "featured": [], "boundaries": []}}

query_market_observations≈ 1824 tokens
Filter published observations by dataset, indicator, geography, category, subgroup and inclusive reference period with bounded stable pagination (default 200, maximum 500). Retain dataset hashes across pages. Units, source locators, estimates and unavailable values remain explicit. No market-size aggregation, unit conversion or causal inference.
Paramètres, retour & exemple (9)
Paramètres
- to · string · optionnel
- geo · string · optionnel
- from · string · optionnel
- page · integer · optionnel
- limit · integer · optionnel
- dataset · string · optionnel · global-drugs | global-arms-economy
- category · string · optionnel
- subgroup · string · optionnel
- indicator · string · optionnel
Exemple d'appel
```
{"name": "query_market_observations", "arguments": {"to": "texte", "geo": "texte", "from": "texte", "page": 1, "limit": 1, "dataset": "global-drugs"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"schema": "texte", "status": "available", "filters": {}, "sources": [], "datasets": [], "indicators": [], "pagination": {}, "generatedAt": "texte", "limitations": [], "observations": [], "unavailableDatasets": []}}
```
research_network≈ 340 tokens
Read Palimpsest’s complete source catalog by topic alongside Seiche funding context, with next steps into LiquiLens filings and Undertow liquidity. Source dates, rights and missingness stay attached; no actor, route, criminal or causal inference is implied.
Paramètres, retour & exemple (3)
Paramètres
- limit · integer · optionnel
- topic · string · optionnel · all | china | regions | information_controls | model_evaluations | funding | institutions | liquidity
- offset · integer · optionnel
Exemple d'appel
```
{"name": "research_network", "arguments": {"limit": 1, "topic": "all", "offset": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"schema": "texte", "status": "available", "datasets": [], "selection": {}, "eligibility": {}, "context_only": "texte"}}
```

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Source

https://www.narcoscope.com/mcp