Create the workspace
A human owner starts the free trial, chooses GTM Engineer during onboarding, and connects the systems AmpUp should understand.
You create the workspace. Your agent connects to AmpUp and gets governed access to the meetings, transcripts, deal intelligence, scores, tasks, and CRM context it needs to do useful work.
// Pull analyzed calls for the agent
const meetings = await ampup(
"/v1/list_meetings",
{ status: "analyzed", limit: 25 }
);
// Then retrieve evidence, not guesses
const meeting = await ampup(
"/v1/get_meeting",
{ meeting_id: selectedMeetingId }
);
A clean handoff
The human owns the workspace and consent. The agent gets a clear, permissioned interface to the operating context.
A human owner starts the free trial, chooses GTM Engineer during onboarding, and connects the systems AmpUp should understand.
Use OAuth for an MCP client or create a revocable API key for a server-side integration. Every request stays scoped to your workspace.
Let the agent retrieve context, assemble evidence, and draft the next action. Keep material writes behind review and approval.
Two interfaces, one context layer
MCP is ideal for interactive agents that discover and compose tools. The direct API is ideal for scheduled jobs, ETL, and services with a fixed contract.
See requests, responses, and production patternsAgent-native
Add the hosted AmpUp server to Claude, Codex, Cursor, or any MCP-over-HTTP client. Sign in with OAuth; no API key is needed for compatible clients.
Service-native
Create a key under Settings → API Keys, keep it server-side, and POST JSON to the AmpUp API. Use this path for reliable, repeatable data movement.
curl https://app.ampup.ai/mcp/api/v1/list_meetings \
-H "Authorization: Bearer $AMPUP_API_KEY" \
-H "Content-Type: application/json" \
-d '{"status":"analyzed","limit":25}'
The context your workflows need
AmpUp turns scattered GTM systems into records an agent can retrieve, reason over, and use to prepare the next action.
Search analyzed meetings, retrieve summaries, and pull exact transcript excerpts only when the workflow needs evidence.
Resolve the customer record, stakeholder map, pipeline stage, open tasks, notes, and connected CRM context.
Pull configured evaluation metrics, coaching feedback, objections, qualification evidence, and deal-level trends.
Work with audiences, campaigns, sequences, roleplays, assignments, and sessions through the governed tool surface.
Five journeys, ready to build
Start with reads and drafts. Add approvals at the boundary where the workflow changes a system or contacts a person.
A meeting finishes
Pull the analysis → resolve account, contact, and deal → draft field updates and follow-up tasks → ask for approval.
CRM changes backed by what the customer actually said.
A segment or territory opens
Search companies and people → enrich missing data → score ICP fit → save an audience → draft a sequence.
A reviewable prospecting package without another spreadsheet handoff.
The warehouse job runs
List newly analyzed meetings → bulk-pull scores and deal intelligence → normalize the payload → load the destination.
Meeting evidence joins pipeline data in the metrics layer.
A skill score drops
Find the weak call moment → build a meeting-derived roleplay → propose an assignment → read back practice results.
The next practice session is tied to a live deal, not a generic script.
A product, hiring, or intent signal arrives
Reconcile the company and people → add the signal as context → draft signal-aware outreach → queue human review.
Relevant outreach while the signal is still fresh.
Guardrails built into the handoff
OAuth and API credentials are resolved to the authorizing user and organization on every request.
Use short-lived OAuth for interactive agents or a separately managed API key for server-side jobs.
Treat CRM sync, campaign launch, and outbound messaging as review gates, not background defaults.
Frequently asked questions
A human owner starts the workspace and authorizes access. After that handoff, the agent can connect through OAuth over MCP or use a server-side API key. This keeps ownership, billing, and consent attributable to a person or team.
Use MCP when an interactive agent should discover tools and choose the right operation from natural language. Use direct API calls for deterministic jobs such as warehouse loads, scheduled reports, or a service you already operate. Both paths use the same AmpUp data and permissions.
Start with the workspace overview, then list the relevant records. For meetings, retrieve the meeting overview before requesting a full transcript; the overview already includes analysis and tells the agent which deeper artifacts are available.
Separate evidence collection from side effects. Let the agent read and draft freely inside its permissions, then require a clear approval before CRM sync, campaign launch, sending, or any action that affects a customer-facing system.
Start a workspace, connect your agent, and build the first GTM workflow against real customer evidence.