Categories › AI & Agents › Multi-agent, orchestration & workflows
Emergent Technologies: agent-native applications and networks, consulting and data licensing.
Remote server: your requests and data go to emergenttechnologies.ai. Claude Code: claude mcp add --transport http emergent-technologies https://emergenttechnologies.ai/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
ask_emergent — Ask Emergent Technologies' own agent a question in plain words (data licensing, the payout estimate, privacy, the referral partner program, about_emergent — Returns who Emergent Technologies, Inc. (emergenttechnologies.ai) is, what it does and for whom, from its fact book, with fact ids, statusessearch_facts — Keyword search over Emergent Technologies' fact book. Returns matching facts with their ids, topic, claim, source page, the date each was laestimate_payout — Returns the same indicative payout range the estimator on emergenttechnologies.ai shows for a company's headcount, years of records and headcheck_program_fit — Runs the same matching rules as emergenttechnologies.ai/fit on a person's answers and says which kind of program fits (data licensing, the rpartner_program — Returns Emergent's published description of its referral partner program: who can refer, how a referral works, when partners are paid, what consulting_offer — Returns Emergent's published description of its AI & automation consulting: what it is, how Emergent matches each job with the best-fit specstart_conversation — 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 Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.