🎭Ramp Trainer
Turns closed deals into voice roleplays where an AI plays the buyers your reps will meet.
↓ 4,200▤ 6 fieldsInstall
Nine agents published
An agent that reaches into your other tools, every morning.
Describe the job in plain language. The agent reads yesterday’s calls, updates the deals in HubSpot, posts the recap to Slack, and does it again tomorrow.
Agents
👤My agents🔍Discover+
📊Win/Loss Analyzer
A weekly readout comparing won and lost qualification scores, and ranking the reasons.
↓ 3,100▤ 8 fieldsInstall
🤝Sales → CS Handover
A one-page handover per closed deal: stakeholders, commitments, success criteria, risks.
↓ 2,800▤ 9 fieldsInstall
🗂️Sales Deck Builder
A branded, prospect-specific deck, pulling pains, quotes and pricing context from the calls.
↓ 1,900▤ 5 fieldsInstall
💬Objection Dashboard Builder
Scattered objections become a monthly dashboard: verbatim quotes, trends, coaching insights.
↓ 1,700▤ 3 fieldsInstall
📣Sales Meetings Daily Recap
A Slack recap each morning of yesterday's calls, with objections and competitor mentions.
↓ 1,400▤ 4 fieldsInstall
🛡️Battlecard Generator
Competitor battlecards grounded in real prospect quotes and checked against your docs.
↓ 1,200▤ 5 fieldsInstall
🏆Customer Story Writer
A customer story page per won deal: quotes, ROI metrics, deal timeline, ready to publish.
↓ 980▤ 7 fieldsInstall
🚀Customer Onboarding Deck Builder
Persona-specific onboarding decks per closed-won deal, grounded in the CRM record.
↓ 870▤ 6 fieldsInstall
Agent Gallery
Win/Loss Analyzer8 fieldsInstall
Prompt
A weekly readout comparing won and lost qualification scores, and ranking the reasons.
A readout in SlackWeekly
- EU hosting
- GDPR
- SOC 2 Type II
- No training on your data
Agent Gallery
Nine agents, published and running.
- Sales Meetings Daily Recap: morning Slack recaps, deep-linked to the timestamp.
- Battlecard Generator: battlecards grounded in real prospect quotes.
- Sales → CS Handover: stakeholders, commitments and success criteria.
Agents
👤My agents🔍Discover+
🎭Ramp Trainer
Turns closed deals into voice roleplays where an AI plays the buyers your reps will meet.
⚡ 128◷ 2m▤ 6 fields
📊Win/Loss Analyzer
A weekly readout comparing won and lost qualification scores, and ranking the reasons.
⚡ 94◷ 11m▤ 8 fields
🤝Sales → CS Handover
A one-page handover per closed deal: stakeholders, commitments, success criteria, risks.
⚡ 61◷ 25m▤ 9 fields
🗂️Sales Deck Builder
A branded, prospect-specific deck, pulling pains, quotes and pricing context from the calls.
⚡ 52◷ 1h▤ 5 fields
💬Objection Dashboard Builder
Scattered objections become a monthly dashboard: verbatim quotes, trends, coaching insights.
⚡ 88◷ 3h▤ 3 fields
📣Sales Meetings Daily Recap
A Slack recap each morning of yesterday's calls, with objections and competitor mentions.
⚡ 143◷ 8m▤ 4 fields
🛡️Battlecard Generator
Competitor battlecards grounded in real prospect quotes and checked against your docs.
⚡ 76◷ 40m▤ 5 fields
🏆Customer Story Writer
A customer story page per won deal: quotes, ROI metrics, deal timeline, ready to publish.
⚡ 44◷ 2h▤ 7 fields
🚀Customer Onboarding Deck Builder
Persona-specific onboarding decks per closed-won deal, grounded in the CRM record.
⚡ 37◷ 5h▤ 6 fields
🔍Keyword Researcher
Turns what buyers actually say on calls into the SEO keywords you should own.
⚡ 29◷ 6h▤ 3 fields
Sales Meetings Daily Recap · run 143
- 08:00ReadYesterday's calls · 7 meetings
- 08:01Found3 objections, 2 competitors named
- 08:01WroteRecap with deep links to each timestamp
- 08:02PostedSlack · #revenue
Every run logged, every field traceable to the call it came from.
Runs on
Meeting ends trigger
No human step none
Your stack
Built out of the connectors you already run.
- Claap MCP sits alongside Slack, HubSpot, Notion and Dust.
- Works from Claude, ChatGPT, Cursor, Claude Code and any MCP client.
- Or wire it through Zapier, Make, n8n or the Claap API.
Search
💬ClaapAgent🔎Transcripts🔌API & MCP+
MCPclaap · hubspot · slack · notion · 5 tool calls200 OK · 1.4s
- →claap.search_recordings{ since: "yesterday", type: "external" }7 meetings
- →claap.get_deal_fields{ fields: ["objection","next_step"] }7 records
- →hubspot.update_deal{ deal_id: 4471, next_step: "Security review" }updated
- →slack.post_message{ channel: "#revenue", blocks: [...] }posted
- →notion.append_block{ page: "Deal log", rows: 7 }appended
One run, three servers
Claap Read yesterday's calls 7 meetings
HubSpot Updated the deal next_step
Slack Posted the recap #revenue
And any other MCP server
Agents that chain
One call, a dozen jobs done elsewhere.
- A recap in Slack every morning, without anyone asking.
- Deal fields written to HubSpot the moment a call ends.
- Fix the field once and every agent downstream is right.
Agents
👤My agents🔍Discover+
🎭Ramp Trainer
Turns closed deals into voice roleplays where an AI plays the buyers your reps will meet.
⚡ 128◷ 2m▤ 6 fields
📊Win/Loss Analyzer
A weekly readout comparing won and lost qualification scores, and ranking the reasons.
⚡ 94◷ 11m▤ 8 fields
🤝Sales → CS Handover
A one-page handover per closed deal: stakeholders, commitments, success criteria, risks.
⚡ 61◷ 25m▤ 9 fields
🗂️Sales Deck Builder
A branded, prospect-specific deck, pulling pains, quotes and pricing context from the calls.
⚡ 52◷ 1h▤ 5 fields
💬Objection Dashboard Builder
Scattered objections become a monthly dashboard: verbatim quotes, trends, coaching insights.
⚡ 88◷ 3h▤ 3 fields
📣Sales Meetings Daily Recap
A Slack recap each morning of yesterday's calls, with objections and competitor mentions.
⚡ 143◷ 8m▤ 4 fields
🛡️Battlecard Generator
Competitor battlecards grounded in real prospect quotes and checked against your docs.
⚡ 76◷ 40m▤ 5 fields
🏆Customer Story Writer
A customer story page per won deal: quotes, ROI metrics, deal timeline, ready to publish.
⚡ 44◷ 2h▤ 7 fields
🚀Customer Onboarding Deck Builder
Persona-specific onboarding decks per closed-won deal, grounded in the CRM record.
⚡ 37◷ 5h▤ 6 fields
🔍Keyword Researcher
Turns what buyers actually say on calls into the SEO keywords you should own.
⚡ 29◷ 6h▤ 3 fields
One call · Visser & Co
SlackMorning recapHubSpotDeal fieldsNotionBattlecardLinearProduct feedbackOne connection, not a pipeline to keep alive
The n8n or custom-API build breaks whenever a field changes. Claap is a single MCP endpoint with 58 tools, and it writes as well as reads.
Triggered by the meeting, or by the clock
An agent nobody starts is a demo. Claap automations fire on the meeting itself, filtered by team, by folder or by title keyword.
It reads the whole set instead of sampling it
Pointed at 528 recordings, an agent read three and invented the average. Pointed at a view of AI fields, it read all 263.
10,000+
sales reps run their deals on Claap
50%
higher win rates, typically within the first quarter
2x
faster onboarding for new reps
Frequently asked questions
Do I need an engineer to build one?
No. The gallery agents run as published, and the Claap MCP connector lets Claude or ChatGPT do the work from a plain-language brief. If you'd rather wire it yourself, Zapier, Make and n8n are on Business and Enterprise, and the Claap API on Enterprise.
What can an agent actually do with a call?
Everything the published agents do: post a deep-linked Slack recap, build a competitor battlecard from real prospect quotes, assemble a sales-to-CS handover, produce a prospect-specific deck, or turn a won deal into a customer story page.
Which plan do I need?
Business or Enterprise. Claap’s AI agents and automations are on Business and Enterprise and the API on Enterprise; MCP is on every plan, including the free one. What changes between the two is the AI credit pool: 1,000 credits per licence per month on Business, custom on Enterprise, pooled across the workspace.
Where do the results land?
Wherever the agent sends them. The published agents post to Slack, build decks and interactive dashboards, and publish customer story pages to a CMS. Separately, Claap's own CRM auto-fill writes call data back to Salesforce and HubSpot on Business and Enterprise.
Can an agent run on its own schedule?
Yes. An agent is a job plus a cadence: every morning, after every call, or weekly before the pipeline review. The schedule can live in the assistant you run it from, in your automation tool, or on a webhook. Nobody has to open anything for the output to arrive.
Can two agents work on the same deal?
That is the point. Agents share the fields on the record rather than passing work between themselves. One writes the objections field from the calls, the next reads that field across every deal, and the third reads what the second concluded. Fix the field once and everything downstream is right.
Other features
Also in Claap
The same captured conversations feed every one of these.
See it on your own pipeline.
A 30-minute demo on your real deals. Replacing Gong or Modjo? Ask how we migrate your history.