public

Read-only MCP access to DSGHT.ai published foresight and country-grounded claim resolution.

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Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
85%
Qualität der Benennung
94%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,151Tokens (Tool-Definitionen)
~570 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.90% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "public": {
      "url": "https://www.dsght.ai/mcp"
    }
  }
}

Remote-Endpunkte

https://www.dsght.ai/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (10)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟢list_public_spaces

List the DSGHT future-spaces published for public use (slug, topic, status, depth). Call this first to discover what foresight is available before fetching scenarios, tensions, or a report.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢get_public_tensions(slug)

Get the structural tensions — the load-bearing contradictions — for a published future-space. Use when the user asks what forces conflict, what could break a strategy, or what the tensions/paradoxes are in a covered domain. DSGHT surfaces contradictions rather than averaging them.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "future-space slug from list_public_spaces"
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}
🟢get_public_scenarios(slug)

Get the scenario matrix with probabilities for a published future-space. Use when the user asks how a domain (banking, energy, CEE markets, ...) might play out, what the plausible futures are, or wants to reason across scenarios instead of a single forecast.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "future-space slug from list_public_spaces"
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}
🟢get_public_report(slug)

Get the latest full foresight report (markdown) for a published future-space. Use when the user wants the detailed analysis, or a quotable, cited source on a covered topic.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "future-space slug from list_public_spaces"
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}
🟢search_spaces(query)

Find the most relevant published DSGHT future-space by keyword (topic + report text, plain-text ranked, no AI). Use this to locate a space before calling get_public_scenarios / get_public_tensions / get_public_report when you do not already know the slug.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "search terms, e.g. \"open banking consent\""
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢list_countries

List the jurisdictions and macro indicators (inflation, GDP growth) available to resolve_country_claim and get_country_indicator, with per-country year coverage and source. Call this to check coverage before resolving a claim or looking up an indicator.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢get_country_indicator(jurisdiction, indicator, year)

Look up a country's authoritative macro indicator (inflation | gdp_growth) directly — deterministic, offline, cited. Use whenever you need a real macro figure instead of recalling one from memory: give the jurisdiction (CZ, DE, US, ...) and indicator, plus an optional year (omit for the full annual series).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "jurisdiction": {
      "type": "string",
      "description": "ISO code, e.g. CZ, DE, US"
    },
    "indicator": {
      "type": "string",
      "enum": [
        "inflation",
        "gdp_growth"
      ]
    },
    "year": {
      "type": "string",
      "description": "optional 4-digit year, e.g. 2022"
    }
  },
  "required": [
    "jurisdiction",
    "indicator"
  ],
  "additionalProperties": false
}
⚪resolve_country_claim(subject, jurisdiction, direction, threshold, resolve_by)

Use this WHENEVER the user states or asks you to verify a numeric macro claim (inflation, GDP, interest rates): settle it against the claim's OWN country's authoritative series instead of answering from memory, which risks the wrong jurisdiction (e.g. U.S. CPI for a Czech claim). Binds the claim to a jurisdiction (CZ, DE, ...) and returns a cited above/below verdict. Deterministic and offline.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "subject": {
      "type": "string",
      "description": "e.g. \"inflation\", \"GDP growth\""
    },
    "jurisdiction": {
      "type": "string",
      "description": "ISO code, e.g. CZ, DE"
    },
    "direction": {
      "type": "string",
      "enum": [
        "above",
        "below"
      ]
    },
    "threshold": {
      "type": "number"
    },
    "resolve_by": {
      "type": "string",
      "description": "ISO date the claim resolves by, e.g. 2022-12-31"
    }
  },
  "required": [
    "subject",
    "jurisdiction",
    "direction",
    "threshold"
  ],
  "additionalProperties": false
}
🟢extract_assumptions(text)

Use when the user pastes a strategy, plan, or memo and wants its hidden bets made explicit: extracts the falsifiable, load-bearing assumptions (dated/quantified bets + structural findings). Stateless taster — nothing is stored; the persistent per-company assumption registry with monitoring and a Brier track record is the authenticated tier.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "Strategy / plan / memo text to analyze (plain text)."
    }
  },
  "required": [
    "text"
  ],
  "additionalProperties": false
}
⚪detect_tensions(text)

Use when the user pastes strategy text and asks what is internally inconsistent: detects the structural contradictions — where the text quietly bets on two things that cannot both hold. Stateless taster; nothing is stored. DSGHT surfaces the conflict rather than smoothing it over.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "Strategy / plan / memo text to analyze (plain text)."
    }
  },
  "required": [
    "text"
  ],
  "additionalProperties": false
}

Empfohlene Prompts

search_research
Search for information about [topic] using public
Erwartete Tools: search_spaces
find_specific
Find [specific item] using public
Erwartete Tools: search_spaces
retrieve_data
Get details about [item] from public
Erwartete Tools: get_public_tensions
fetch_info
Fetch [information type] using public
Erwartete Tools: get_public_tensions
list_items
List all [items] available in public
Erwartete Tools: list_public_spaces

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