GTM engineering consulting firm for seed to Series C startups. We build and run GTM systems.
| Endpoint | https://artemisgtm.ai/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 5 tools · grade A (100) · pin ts_21692d98bbf44ea63ea9562406efb43f · protocol 2025-06-18 |
| First / last listed | 2026-10-25 01:59 UTC / 2026-10-25 01:59 UTC |
| Grade over time | 2026-10-25: A (100), 5 tools |
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Tools: describe_firm list_systems recommend_engagement book_evaluation get_resources
describe_firm | What Artemis GTM is: an AI GTM engineering firm for seed to Series C B2B startups, who founded it, what it builds, how it builds (its proprietary agent architecture, never sold or installed), what clients keep, how an engagement starts, how it is priced (custom, scoped on an evaluation call) and the booking link. params: none |
list_systems | The GTM systems Artemis GTM builds inside a client's own CRM and tools, each with the problem it fixes, what gets built and the related free guides. No prices: every engagement is custom. params: none |
recommend_engagement | Given a B2B go-to-market problem in plain language (for example "leads sit for two days before anyone calls them", "most of our website traffic is anonymous", "our ICP is too broad"), name the system Artemis GTM would build to fix it, why, up to two alternates, the related guides and the next step: an evaluation call. params: problem* |
book_evaluation | The evaluation booking link for Artemis GTM and what happens on the call: Tom Regan walks the motion, names the biggest leak visible from the outside and says whether an engagement fits; the caller leaves with a written scoping note and, if it fits, a custom quote. This tool books nothing itself. params: context |
get_resources | The free guides on artemisgtm.ai, by topic (speed to lead, lead scoring and handoff, visitor identification, ICP, outbound, data and reporting), for a person who is not ready for an engagement. params: topic |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.