Merron

Inspect selected project excerpts and screen user-confirmed facts for bounded EU AI Act readiness.

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Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
85%
Qualität der Benennung
80%
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

~1,099Tokens (Tool-Definitionen)
~1.8 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.86% 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": {
    "ai-act-check": {
      "url": "https://merron.app/mcp"
    }
  }
}

Remote-Endpunkte

https://merron.app/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (4)

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🟢merron_scan_project(sharingConfirmed, files)

Find possible AI integrations, model calls, disclosure wording and sensitive-use wording in user-selected project excerpts. Returns file/line references and follow-up questions, not a legal classification. First explain that the excerpts will be sent to Merron and obtain the user's agreement. Never send secrets, personal customer records, whole repositories or files the user has not authorised. Does not fetch URLs, execute code, persist inputs or access private cases.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "sharingConfirmed": {
      "type": "boolean",
      "const": true,
      "description": "True only after the user agrees to send these selected excerpts to Merron."
    },
    "files": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "path": {
            "type": "string",
            "minLength": 1,
            "maxLength": 240
          },
          "startLine": {
            "type": "integer",
            "minimum": 1,
            "maximum": 1000000,
            "default": 1
          },
          "text": {
            "type": "string",
            "minLength": 1,
            "maxLength": 8000
          }
        },
        "required": [
          "path",
          "text"
        ],
        "additionalProperties": false
      },
      "minItems": 1,
      "maxItems": 12
    }
  },
  "required": [
    "sharingConfirmed",
    "files"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢merron_get_questions(facts)

Get relevant business questions and explanations for a selected AI system. Pass only known user answers; omit unknown values or use null. Does not classify or assume unanswered questions mean No. No sign-in or private workspace access.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "facts": {
      "type": "object",
      "additionalProperties": {
        "anyOf": [
          {
            "type": "boolean"
          },
          {
            "type": "string",
            "enum": [
              "provider",
              "deployer",
              "both"
            ]
          },
          {
            "type": "null"
          }
        ]
      },
      "default": {}
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢merron_screen_ai_act(factsConfirmedByUser, facts)

Run Merron's versioned, bounded AI Act rules on facts the user has explicitly confirmed. Returns a conditional screening result, unresolved routes, missing questions and official references. Never infer confirmation or legal compliance from source code or absence of signals. Unknown answers remain unknown. This computation does not check documents, use an AI model, save a report, access accounts or certify compliance.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "factsConfirmedByUser": {
      "type": "boolean",
      "const": true,
      "description": "True only after the user confirms the supplied answers describe the actual system."
    },
    "facts": {
      "type": "object",
      "additionalProperties": {
        "anyOf": [
          {
            "type": "boolean"
          },
          {
            "type": "string",
            "enum": [
              "provider",
              "deployer",
              "both"
            ]
          },
          {
            "type": "null"
          }
        ]
      }
    }
  },
  "required": [
    "factsConfirmedByUser",
    "facts"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡merron_prepare_workspace(userAgreed, system)

Save this AI system to Merron so the user can build an evidence pack from it: the name, a description, the answers the user confirmed and the file/line findings from merron_scan_project. Returns a private single-use link, valid 7 days; the user signs in, the system opens prefilled and Merron guides them through connecting the code, confirming the answers and creating the pack. Ask the user first and tell them what will be saved. Never include code excerpts, secrets or personal data; findings carry only paths, line numbers and codes. Give the user the link exactly as returned.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "userAgreed": {
      "type": "boolean",
      "const": true,
      "description": "True only after the user agrees to save these details to Merron."
    },
    "system": {
      "type": "object",
      "properties": {
        "company": {
          "type": "string",
          "minLength": 1,
          "maxLength": 200
        },
        "productName": {
          "type": "string",
          "minLength": 1,
          "maxLength": 200
        },
        "description": {
          "type": "string",
          "minLength": 20,
          "maxLength": 4000
        },
        "facts": {
          "type": "object",
          "additionalProperties": {
            "anyOf": [
              {
                "type": "boolean"
              },
              {
                "type": "string",
                "enum": [
                  "provider",
                  "deployer",
                  "both"
                ]
              },
              {
                "type": "null"
              }
            ]
          },
          "default": {}
        },
        "findings": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "code": {
                "type": "string",
                "minLength": 1,
                "maxLength": 60
              },
              "path": {
                "type": "string",
                "minLength": 1,
                "maxLength": 240
              },
              "line": {
                "type": "integer",
                "minimum": 1,
                "maximum": 1000000
              },
              "interpretation": {
                "type": "string",
                "maxLength": 300
              }
            },
            "required": [
              "code",
              "path",
              "line"
            ],
            "additionalProperties": false
          },
          "maxItems": 60,
          "default": []
        }
      },
      "required": [
        "company",
        "productName",
        "description"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "userAgreed",
    "system"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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