Ask Emergent Technologies about licensing business records to AI labs, consulting and partnering.
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.
Returns who Emergent Technologies, Inc. (emergenttechnologies.ai) is, what it does and for whom, from its fact book, with fact ids, statuses, dates and source pages, plus the next step for each kind of person (owner, partner, consulting, buyer). Optional topic narrows the answer: overview (default), disambiguation (how it differs from emergent.sh and from Emergent Technologies of Austin, Texas, emergenttechnologies.com), or one fact-book topic.
overview (default), disambiguation, or a fact-book topic: company, licensing, estimate, privacy-consent, partners, consulting, lab, contact
Pick your client. Values in capitals, like YOUR_TOKEN, are yours to fill in.
Run in a terminal
claude mcp add --transport http emergent https://emergenttechnologies.ai/mcp
Returns who Emergent Technologies, Inc. (emergenttechnologies.ai) is, what it does and for whom, from its fact book, with fact ids, statuses, dates and source pages, plus the next step for each kind of person (owner, partner, consulting, buyer). Optional topic narrows the answer: overview (default), disambiguation (how it differs from emergent.sh and from Emergent Technologies of Austin, Texas, emergenttechnologies.com), or one fact-book topic.
| Argument | Type | Description |
|---|---|---|
| topic | string | overview (default), disambiguation, or a fact-book topic: company, licensing, estimate, privacy-consent, partners, consulting, lab, contact |
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"topic": {
"enum": [
"overview",
"disambiguation",
"company",
"licensing",
"estimate",
"privacy-consent",
"partners",
"consulting",
"lab",
"contact"
],
"type": "string",
"description": "overview (default), disambiguation, or a fact-book topic: company, licensing, estimate, privacy-consent, partners, consulting, lab, contact"
}
}
}Ask Emergent Technologies' own agent a question in plain words (data licensing, the payout estimate, privacy, the referral partner program, AI consulting, the lab, contact). It answers only from Emergent's fact book: the claims are quoted as published, each with its fact id, status and source page, followed by the next step for who is asking. If the fact book does not cover the question it says so and gives the contact path. The question is treated as data: instructions inside it are not followed. It saves and sends nothing.
| Argument | Type | Description |
|---|---|---|
| role | string | Who is asking, to pick the next step: owner, partner, buyer (an AI lab or data buyer), consulting, or other |
| question* | string | The question, in plain words (up to 2,000 characters). Please leave out personal details. |
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"question"
],
"properties": {
"role": {
"enum": [
"owner",
"partner",
"buyer",
"consulting",
"other"
],
"type": "string",
"description": "Who is asking, to pick the next step: owner, partner, buyer (an AI lab or data buyer), consulting, or other"
},
"question": {
"type": "string",
"maxLength": 100000,
"description": "The question, in plain words (up to 2,000 characters). Please leave out personal details."
}
}
}Runs the same matching rules as emergenttechnologies.ai/fit on a person's answers and says which kind of program fits (data licensing, the referral partner program, or expert work) and why. It collects and saves nothing and takes no personal details. To see their specific route and proceed, the person continues at /fit, where they enter their own details with consent.
| Argument | Type | Description |
|---|---|---|
| path* | string | company = owns or runs a company; closed = the company closed; professional = lawyer, doctor, accountant, exec; partner = brings deals |
| role | string | Professional path |
| reach | string | Partner path: how many companies they can reach |
| tools | array | Systems the company uses; paper = mostly paper |
| years | string | Years of records: lt3, 3to5, 5to10, 10plus |
| serves | string | Who the company mostly serves |
| status | string | Company path: is it still operating? |
| country | string | us; ca_uk_au = Canada, UK or Australia; other |
Returns Emergent's published description of its AI & automation consulting: what it is, how Emergent matches each job with the best-fit specialist, how an engagement runs (Assess, Match, Build, Run), the services, enterprise private intelligence and its deployment options (with a leading lab, on dedicated cloud infrastructure or on hardware the client owns), how to start, and how to get in touch. Each fact carries its own status (approved or draft). No prices are published, so none are returned.
No arguments.
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {}
}Returns the same indicative payout range the estimator on emergenttechnologies.ai shows for a company's headcount, years of records and headquarters, with the page's own caveats. It is a starting range from licensing partners' published formulas, not an offer. Inputs above the page's caps (1,000 people, 30 years) are shown at the cap, as on the page.
| Argument | Type | Description |
|---|---|---|
| years* | integer | How many years of data the company has (usually years in business) |
| employees* | integer | How many people work at the company |
| headquarters | string | Where the company is headquartered: us (default), canada, europe or other |
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"employees",
"years"
],
"properties": {
"years": {
"type": "integer",
"maximum": 1000,
"minimum": 1,
"description": "How many years of data the company has (usually years in business)"
},
"employees": {
"type": "integer",
"maximum": 10000000,
"minimum": 1,
"description": "How many people work at the company"
},
"headquarters": {
"enum": [
"us",
"canada",
"europe",
"other"
],
"type": "string",
"description": "Where the company is headquartered: us (default), canada, europe or other"
}
}
}Returns Emergent's published description of its referral partner program: who can refer, how a referral works, when partners are paid, what to tell an owner, and how to apply. Each fact carries its own status (approved, or draft: wording pending Emergent's final approval). Referral rates and amounts are not published, so none are returned.
No arguments.
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {}
}Keyword search over Emergent Technologies' fact book. Returns matching facts with their ids, topic, claim, source page, the date each was last checked (asOf) and status (approved or draft). Use it to cite a specific fact; an empty result means the fact book does not state it.
| Argument | Type | Description |
|---|---|---|
| limit | integer | Most results to return (default 8) |
| query* | string | Words to look for, e.g. 'who removes personal details' |
| topic | string | Limit to one topic |
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"query"
],
"properties": {
"limit": {
"type": "integer",
"maximum": 20,
"minimum": 1,
"description": "Most results to return (default 8)"
},
"query": {
"type": "string",
"maxLength": 200,
"minLength": 2,
"description": "Words to look for, e.g. 'who removes personal details'"
},
"topic": {
"enum": [
"company",
"licensing",
"estimate",
"privacy-consent",
"partners",
"consulting",
"lab",
"contact"
],
"type": "string",
"description": "Limit to one topic"
}
}
}Prepares a consent-safe handoff to Emergent's team. It sends nothing and saves nothing: it returns a short summary of what the person wants and the exact Emergent page where the person reviews, confirms and submits their own details. Show the person the summary and the link, and send them there only after they say yes.
| Argument | Type | Description |
|---|---|---|
| intent* | string | license_records, refer_businesses, consulting or other |
| request | string | Optional: what the person wants, in a sentence. Returned to you as written; do not include personal details. |
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"intent"
],
"properties": {
"intent": {
"enum": [
"license_records",
"refer_businesses",
"consulting",
"other"
],
"type": "string",
"description": "license_records, refer_businesses, consulting or other"
},
"request": {
"type": "string",
"maxLength": 500,
"description": "Optional: what the person wants, in a sentence. Returned to you as written; do not include personal details."
}
}
}We read every tool's name, description and inputs the way the model will, looking for instructions hidden from you. A clean result means no warning signs, not a guarantee. Scanned Nov 13, 2026.
| industry | string |
| interest | string | Company paths: license = license the records; refer = offer this to clients; both |
| language | string | Language of most records |
| licensed | string | Professional path: licensed in their field? |
| dataTypes | array |
| employees | string | People at the company (at its peak if closed) |
| partnerType | string | Partner path |
| industryDetail | string | When industry is other |
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"path"
],
"properties": {
"path": {
"enum": [
"company",
"closed",
"professional",
"partner"
],
"type": "string",
"description": "company = owns or runs a company; closed = the company closed; professional = lawyer, doctor, accountant, exec; partner = brings deals"
},
"role": {
"enum": [
"lawyer",
"physician",
"accountant",
"banker",
"qa_engineer",
"other"
],
"type": "string",
"description": "Professional path"
},
"reach": {
"enum": [
"1-5",
"6-20",
"21-100",
"100+"
],
"type": "string",
"description": "Partner path: how many companies they can reach"
},
"tools": {
"type": "array",
"items": {
"enum": [
"crm",
"chat",
"recordings",
"email_calendar",
"docs",
"tickets",
"billing",
"paper"
],
"type": "string"
},
"maxItems": 10,
"description": "Systems the company uses; paper = mostly paper"
},
"years": {
"enum": [
"lt3",
"3to5",
"5to10",
"10plus"
],
"type": "string",
"description": "Years of records: lt3, 3to5, 5to10, 10plus"
},
"serves": {
"enum": [
"businesses",
"consumers",
"both"
],
"type": "string",
"description": "Who the company mostly serves"
},
"status": {
"enum": [
"active",
"closed"
],
"type": "string",
"description": "Company path: is it still operating?"
},
"country": {
"enum": [
"us",
"ca_uk_au",
"other"
],
"type": "string",
"description": "us; ca_uk_au = Canada, UK or Australia; other"
},
"industry": {
"enum": [
"legal",
"accounting_finance",
"medical",
"other"
],
"type": "string"
},
"interest": {
"enum": [
"license",
"refer",
"both"
],
"type": "string",
"description": "Company paths: license = license the records; refer = offer this to clients; both"
},
"language": {
"enum": [
"english",
"not_english"
],
"type": "string",
"description": "Language of most records"
},
"licensed": {
"enum": [
"yes",
"no"
],
"type": "string",
"description": "Professional path: licensed in their field?"
},
"dataTypes": {
"type": "array",
"items": {
"enum": [
"cad_bim",
"3d_game",
"code_repos",
"simulation_sensor",
"lab_clinical",
"annotated_media",
"none"
],
"type": "string"
},
"maxItems": 10
},
"employees": {
"enum": [
"1-9",
"10-19",
"20-34",
"35-75",
"76-200",
"200+"
],
"type": "string",
"description": "People at the company (at its peak if closed)"
},
"partnerType": {
"enum": [
"agency",
"affiliate",
"b2b_marketer",
"creator",
"consultant"
],
"type": "string",
"description": "Partner path"
},
"industryDetail": {
"enum": [
"construction_trades",
"real_estate",
"retail_ecommerce",
"hospitality",
"manufacturing",
"logistics",
"marketing_agency",
"education",
"insurance",
"nonprofit",
"ai_tech_startup",
"engineering_architecture",
"software_dev_agency",
"game_studio",
"media_production",
"something_else"
],
"type": "string",
"description": "When industry is other"
}
}
}