F
licenseNot graded
qualityC
maintenanceReal-time B2B company firmographics, headcount tier, ARR estimate, tech stack adoption, and verified C-Level executive contact emails for AI SDRs and sales automation.
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gtm-engineer
Server Details
GTM engineering consulting firm for seed to Series C startups. We build and run GTM systems.
If you are the author of this connector, you can claim ownership by verifying the domain or GitHub account it belongs to. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
B3.3/5.0
Scored across 5 tools
Disambiguation4/5
Each tool has a distinct role: firm overview, systems list, problem-to-system recommendation, free resources, and evaluation booking. There is some conceptual overlap between list_systems and recommend_engagement, and book_evaluation sounds like an action even though its description says it books nothing itself. The descriptions mostly clarify these boundaries.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case: book_evaluation, describe_firm, get_resources, list_systems, recommend_engagement. There are no mixed conventions or vague standalone verbs.
Tool Count5/5
Five tools is well within the appropriate range for an informational GTM firm assistant. Each tool covers a distinct prospect need without bloating the surface.
Completeness4/5
The set covers the main lifecycle: learn about the firm, see systems, get a recommendation, access resources, and reach an evaluation booking. Minor gaps include no dedicated pricing tool and no actual booking/contact action, though pricing and booking links are provided through other tools.
Available Tools
5 toolsbook_evaluationCInspect
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, one of the two options on https://artemisgtm.ai/pricing/ (Single system build, priced as shown, or Embedded GTM Engineering, with its final quote to follow). This tool books nothing itself.
Inputs: context.
describe_firmAInspect
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 (two options, Single system build and Embedded GTM Engineering, with prices for both published at https://artemisgtm.ai/pricing/) and the booking link.
Inputs: no named parameters.
get_resourcesAInspect
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.
Inputs: topic.
list_systemsBInspect
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 here: prices for both options are published at https://artemisgtm.ai/pricing/.
Inputs: no named parameters.
recommend_engagementAInspect
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.
Inputs: problem (required).
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