Merron

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

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
85%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,099Tokens (tool definitions)
~1.8 KBTypical response size
Moderate attention impact (0.86% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "ai-act-check": {
      "url": "https://merron.app/mcp"
    }
  }
}

Remote endpoints

https://merron.app/mcpstreamable-http

What it can do

Tool inventory

Tools (4)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢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.

Input 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.

Input 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.

Input 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.

Input 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#"
}

Community

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Evidence

Recent observations

verifiedversion not recorded4 tools
verifiedversion not recorded3 tools
verifiedversion not recorded3 tools