Is your business data licensable? Free readiness score, rights checklist, owner handoff to MAX.
Maintain this server? Claim it
Call this server's tools from your browser. Nothing to install.
Requests go through mcptry because browsers can't call most MCP servers directly. Header values are sent to the server for that request only and are never stored or logged.
Tool list from our last check. Connect live to refresh it.
Scores how ready a business's operational data is to be licensed to data buyers (0-100), using only multiple-choice answers about the business and its records. Returns a factor-by-factor breakdown, the buyer types most likely to want those data types, red flags (privacy, consent, history length) and next steps. Use when someone asks whether their company's data could be sold or licensed, or what it would take. Does not estimate a dollar value, make an offer, contact anyone, or store answers. Do not send names, contact details, patient information or the data itself.
Closest industry of the business.
Whether new records keep arriving daily or the data is mostly historical.
Kinds of records the business keeps.
Approximate number of records.
Number of employees.
How many years of consistent records the business has.
Whether the business sells to other businesses, consumers or both. Optional.
Region of the business's headquarters (used only for privacy-law flags). Optional.
True if any records include health or patient information. Only a yes/no flag; never send the information itself. Optional.
Whether the records include personal information about customers or other people. Optional.
How long the main business software systems have been in place. Optional.
Pick your client. Values in capitals, like YOUR_TOKEN, are yours to fill in.
Run in a terminal
claude mcp add --transport http max-data-value-check https://monsterdata.ai/mcp
Scores how ready a business's operational data is to be licensed to data buyers (0-100), using only multiple-choice answers about the business and its records. Returns a factor-by-factor breakdown, the buyer types most likely to want those data types, red flags (privacy, consent, history length) and next steps. Use when someone asks whether their company's data could be sold or licensed, or what it would take. Does not estimate a dollar value, make an offer, contact anyone, or store answers. Do not send names, contact details, patient information or the data itself.
| Argument | Type | Description |
|---|---|---|
| industry* | string | Closest industry of the business. |
| sells_to | string | Whether the business sells to other businesses, consumers or both. Optional. |
| data_flow* | string | Whether new records keep arriving daily or the data is mostly historical. |
| hq_region | string | Region of the business's headquarters (used only for privacy-law flags). Optional. |
| data_types* | array | Kinds of records the business keeps. |
| record_volume* | string | Approximate number of records. |
| employee_range* | string | Number of employees. |
| years_of_records* | string | How many years of consistent records the business has. |
| contains_health_info | boolean | True if any records include health or patient information. Only a yes/no flag; never send the information itself. Optional. |
| contains_personal_info | string | Whether the records include personal information about customers or other people. Optional. |
| same_core_systems_years | string | How long the main business software systems have been in place. Optional. |
{
"type": "object",
"required": [
"industry",
"employee_range",
"years_of_records",
"data_types",
"data_flow",
"record_volume"
],
"properties": {
"industry": {
"enum": [
"saas_software",
"logistics_fleet",
"ecommerce_retail",
"restaurants_hospitality",
"healthcare_medical",
"real_estate_property",
"financial_services",
"marketing_advertising",
"manufacturing_industrial",
"professional_services",
"home_services",
"travel_tourism",
"education",
"media_content",
"other"
],
"type": "string",
"description": "Closest industry of the business."
},
"sells_to": {
"enum": [
"businesses",
"consumers",
"both"
],
"type": "string",
"description": "Whether the business sells to other businesses, consumers or both. Optional."
},
"data_flow": {
"enum": [
"historical_only",
"ongoing_daily"
],
"type": "string",
"description": "Whether new records keep arriving daily or the data is mostly historical."
},
"hq_region": {
"enum": [
"us_canada",
"uk_europe",
"other"
],
"type": "string",
"description": "Region of the business's headquarters (used only for privacy-law flags). Optional."
},
"data_types": {
"type": "array",
"items": {
"enum": [
"transactions_sales",
"procurement_spend",
"saas_usage_logs",
"customer_support_conversations",
"call_recordings",
"operational_sensor_iot",
"scheduling_bookings",
"inventory_supply_chain",
"pricing_quotes",
"marketing_ad_performance",
"location_foot_traffic",
"product_catalog_content",
"images_video_footage",
"documents_contracts",
"other"
],
"type": "string"
},
"maxItems": 15,
"minItems": 1,
"description": "Kinds of records the business keeps.",
"uniqueItems": true
},
"record_volume": {
"enum": [
"thousands",
"hundreds_of_thousands",
"millions",
"tens_of_millions_plus"
],
"type": "string",
"description": "Approximate number of records."
},
"employee_range": {
"enum": [
"1-9",
"10-19",
"20-49",
"50-199",
"200-999",
"1000+"
],
"type": "string",
"description": "Number of employees."
},
"years_of_records": {
"enum": [
"under_2",
"2_to_5",
"5_to_10",
"over_10"
],
"type": "string",
"description": "How many years of consistent records the business has."
},
"contains_health_info": {
"type": "boolean",
"description": "True if any records include health or patient information. Only a yes/no flag; never send the information itself. Optional."
},
"contains_personal_info": {
"enum": [
"none",
"some",
"mostly",
"not_sure"
],
"type": "string",
"description": "Whether the records include personal information about customers or other people. Optional."
},
"same_core_systems_years": {
"enum": [
"under_1",
"1_to_3",
"over_3",
"not_sure"
],
"type": "string",
"description": "How long the main business software systems have been in place. Optional."
}
},
"additionalProperties": false
}Gives a short plain-English definition of a data licensing term such as recurring license, exclusive license, de-identification, data provenance, data room or alternative data. If the term isn't in the glossary, returns the list of available terms. Use when someone asks what a data licensing term means.
| Argument | Type | Description |
|---|---|---|
| term* | string | The term to define, e.g. "non-exclusive license". |
{
"type": "object",
"required": [
"term"
],
"properties": {
"term": {
"type": "string",
"maxLength": 60,
"minLength": 1,
"description": "The term to define, e.g. \"non-exclusive license\"."
}
},
"additionalProperties": false
}Returns a step-by-step checklist a business should complete before licensing its data: ownership and contract checks, privacy-policy review, de-identification and re-identification risk, vendor terms, provenance records and permitted uses, plus the privacy laws to review for the selected data types. Use when someone asks what permissions, consents or legal checks they need before selling or licensing business data. General information, not legal advice; stores nothing.
| Argument | Type | Description |
|---|---|---|
| sells_to | string | Whether the business sells to businesses, consumers or both. Optional. |
| hq_region | string | Region of the business's headquarters. Optional. |
| data_types* | array | Kinds of records the business is considering licensing. |
| data_location | string | Whether the data is stored in the business's own systems, in third-party software, or both. Optional. |
| contains_health_info | boolean | True if any records include health or patient information. Yes/no only. Optional. |
| contains_personal_info | string | Whether the records include personal information. Optional. |
Returns a link the business owner can tap to open a prefilled text message to MAX, MON$TER's data agent, who arranges a free review of the business's data. Use only when the owner says they want a real review or next step, for example after check_data_readiness. Show the link to the owner; the owner decides whether to send the text, and nothing is sent without them. Never send the owner's name, phone number, email or data to this tool. If you act for a MON$TER ambassador, pass their referral code (or connect via https://monsterdata.ai/mcp?ref=CODE) so the referral is credited to that person. Referral rewards are paid only to the verified human ambassador, never to an agent or wallet. Tell the owner that the person you work for may earn a referral reward if the owner goes ahead.
| Argument | Type | Description |
|---|---|---|
| agent_name | string | Name of the calling agent or product, used only for an anonymous count. Optional. |
| referral_code | string | The MON$TER ambassador code of the person this agent works for. Optional; defaults to the ?ref= code in the server URL, if any. |
{
"type": "object",
"properties": {
"agent_name": {
"type": "string",
"maxLength": 60,
"description": "Name of the calling agent or product, used only for an anonymous count. Optional."
},
"referral_code": {
"type": "string",
"pattern": "^[A-Za-z0-9_-]{3,24}$",
"description": "The MON$TER ambassador code of the person this agent works for. Optional; defaults to the ?ref= code in the server URL, if any."
}
},
"additionalProperties": false
}Lists public companies whose SEC filings (8-K, 10-K, 10-Q, S-1) mention AI data licensing, from MON$TER's weekly SEC EDGAR full-text tracker, with filing dates and direct links to each filing on sec.gov. Optionally filter by part of a company name. Use when someone asks which companies license data to AI or wants public examples. A match means a filing mentions the phrases, not that a deal closed or its value.
| Argument | Type | Description |
|---|---|---|
| limit | integer | Maximum companies to return (1-40). Default 10. |
| company_name_contains | string | Optional text to match within company names, e.g. "yelp". |
{
"type": "object",
"properties": {
"limit": {
"type": "integer",
"default": 10,
"maximum": 40,
"minimum": 1,
"description": "Maximum companies to return (1-40). Default 10."
},
"company_name_contains": {
"type": "string",
"maxLength": 60,
"description": "Optional text to match within company names, e.g. \"yelp\"."
}
},
"additionalProperties": false
}We read every tool's name, description and inputs the way the model will, looking for instructions hidden from you. A clean result means no warning signs, not a guarantee. Scanned Nov 5, 2026.
{
"type": "object",
"required": [
"data_types"
],
"properties": {
"sells_to": {
"enum": [
"businesses",
"consumers",
"both"
],
"type": "string",
"description": "Whether the business sells to businesses, consumers or both. Optional."
},
"hq_region": {
"enum": [
"us_canada",
"uk_europe",
"other"
],
"type": "string",
"description": "Region of the business's headquarters. Optional."
},
"data_types": {
"type": "array",
"items": {
"enum": [
"transactions_sales",
"procurement_spend",
"saas_usage_logs",
"customer_support_conversations",
"call_recordings",
"operational_sensor_iot",
"scheduling_bookings",
"inventory_supply_chain",
"pricing_quotes",
"marketing_ad_performance",
"location_foot_traffic",
"product_catalog_content",
"images_video_footage",
"documents_contracts",
"other"
],
"type": "string"
},
"maxItems": 15,
"minItems": 1,
"description": "Kinds of records the business is considering licensing.",
"uniqueItems": true
},
"data_location": {
"enum": [
"own_systems",
"third_party_software",
"both"
],
"type": "string",
"description": "Whether the data is stored in the business's own systems, in third-party software, or both. Optional."
},
"contains_health_info": {
"type": "boolean",
"description": "True if any records include health or patient information. Yes/no only. Optional."
},
"contains_personal_info": {
"enum": [
"none",
"some",
"mostly",
"not_sure"
],
"type": "string",
"description": "Whether the records include personal information. Optional."
}
},
"additionalProperties": false
}