Merron

Official3 tools

by merron

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

The Model Context Protocol (MCP) server app.merron/ai-act-check inspects selected project excerpts and screen user-confirmed facts to assess bounded EU AI Act readiness. It operates as an AI Act–oriented review workflow, focusing on readiness evaluation based on provided excerpts and user confirmations.

🛠️ Key Features

Inspects selected project excerpts
Screens user-confirmed facts
Targets bounded EU AI Act readiness

🚀 Use Cases

Reviewing project excerpts for EU AI Act readiness
Validating user-confirmed facts during an AI Act readiness check

⚡ Developer Benefits

Provides a structured approach for bounded EU AI Act readiness assessment using excerpts and confirmed facts

⚠️ Limitations

Described scope is limited to bounded EU AI Act readiness (no other domains are specified)

Captured live from the server via tools/list.

merron_scan_project

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.

Parameters2

sharingConfirmed	boolean	required	True only after the user agrees to send these selected excerpts to Merron.
files	array	required

Raw 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

Get relevant business questions and explanations for a selected AI product. 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.

Parameters1

facts

object

optional

Raw 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

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.

Parameters2

factsConfirmedByUser	boolean	required	True only after the user confirms the supplied answers describe the actual product.
facts	object	required

Raw schema

{
  "type": "object",
  "properties": {
    "factsConfirmedByUser": {
      "type": "boolean",
      "const": true,
      "description": "True only after the user confirms the supplied answers describe the actual product."
    },
    "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#"
}

Install

Tools (3)

merron_scan_projectmerron_get_questionsmerron_screen_ai_act

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://merron.app/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "ai-act-check": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://merron.app/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

merron_scan_project

merron_get_questions

merron_screen_ai_act

Install

Remote endpoint

Related servers