Verslay is an AI agent platform that gives business owners access to 98 pre-built AI agents for marketing, sales, operations, finance, and more — all accessible through claude.ai via a single MCP server connection. No coding, no infrastructure, no setup.

How does Verslay work with Claude AI?

Verslay plugs into claude.ai as an MCP (Model Context Protocol) server. Once connected, your Claude AI gains access to all your enabled agents and your connected business tools — so you can run automation by simply describing what you need in plain language.

How much does Verslay cost?

Verslay has a free plan with core agents. Paid plans start at ₹999/month (Starter) and ₹3,499/month (Pro with 5 seats). Enterprise and custom pricing is available for larger teams.

Do I need technical skills or coding to use Verslay?

No. Verslay is built for business owners, not developers. You connect your tools (like HubSpot, Shopify, Slack, or Stripe) once, choose which use-cases to activate, and then run them through natural language in claude.ai. Zero code required.

What tools and integrations does Verslay support?

Verslay integrates with 30+ business tools including HubSpot, Shopify, Slack, Stripe, Google Workspace, Notion, ClickUp, Meta Ads, LinkedIn, Razorpay, Zoho, Zendesk, and many more. New integrations are added regularly.

Is Verslay suitable for small businesses and startups?

Yes. Verslay is designed specifically for small and medium businesses who want enterprise-grade AI automation without an engineering team. The free plan lets you start immediately, and paid plans scale with your needs.

All Use Cases

Customer Success

Meeting Recap to Zendesk Ticket

Customer calls become support follow-through.

Ensures support and success meetings update the ticket system instead of leaving context in calendars.

Best forProfessional ServicesSaaS

Agents7 required

Duration3-5 minutes

Uses meeting context and support data to prepare ticket notes, next steps, and owner handoffs after customer calls.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior meeting-to-ticket mapping rules, category taxonomies, and SLA thresholds stored in memory. Pull all Calendly meetings that completed in the past 24 hours using the calendly-meeting-automation-agent integration. Extract attendee names, meeting type, intake form answers, and any post-meeting notes. Produce a completed-meetings manifest as Phase 1 output.

scheduling scanner

Fetch full event detail for each completed meeting: custom field answers, meeting duration, attendee count, and any post-meeting form submissions. Identify meetings that require follow-up action (flagged in intake form or by meeting type). Pass enriched event records to Phase 2.

calendly meeting automation agent

For each meeting's stated issue or topic, call verslay_web_search to find relevant knowledge base articles, product documentation, or industry best practices that should be referenced in the support ticket. Call verslay_news_search to check for any recent product updates or known issues relevant to the meeting topic. Produce a contextual reference brief per meeting.

web researcher

In parallel with web-researcher, analyze the meeting intake form responses and any post-meeting notes from Phase 1 to detect customer sentiment: positive, frustrated, or at-risk. Assign a sentiment score and urgency level per meeting. Produce a sentiment-classification record per attendee.

sentiment analyst

Consume Phase 2 contextual reference briefs and sentiment classifications. Create a Zendesk ticket for each completed meeting requiring follow-up: populate subject (meeting type + account name), body (meeting recap with action items), priority (derived from sentiment urgency), and assigned group. Attach relevant reference links from the Phase 2 web research. Produce Zendesk ticket IDs as output.

zendesk support operations agent

Consume Phase 3 Zendesk ticket IDs, Phase 1 meeting context, and Phase 2 sentiment classifications. Draft a post-meeting recap email per attendee: summary of discussion points, next steps, Zendesk ticket reference number, and expected resolution timeline. Produce ready-to-send recap emails.

email writer

Receive recap emails and Zendesk ticket confirmations from Phases 3 and 4. Send recap emails to meeting attendees. Post a meeting-to-ticket summary to the configured CS Slack channel. Call verslay_memorize to store updated meeting-to-ticket conversion patterns and sentiment baselines in memory. Confirm all deliveries.

distributor

Required Agents

scheduling-scanner
calendly-meeting-automation-agent
web-researcher
sentiment-analyst
zendesk-support-operations-agent
email-writer
distributor

Connections

Required

calendlyzendesk

What it does

Meeting-to-ticket matching
Recap draft
Next-action extraction
Owner handoff
Support queue update

Example prompt

Find customer meetings from Calendly and prepare Zendesk ticket updates with recap, next actions, and owners.

Ready to deploy Meeting Recap to Zendesk Ticket?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Customer Success

Meeting Recap to Zendesk Ticket

Customer calls become support follow-through.

Ensures support and success meetings update the ticket system instead of leaving context in calendars.

Best forProfessional ServicesSaaS

Agents7 required

Duration3-5 minutes

Uses meeting context and support data to prepare ticket notes, next steps, and owner handoffs after customer calls.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior meeting-to-ticket mapping rules, category taxonomies, and SLA thresholds stored in memory. Pull all Calendly meetings that completed in the past 24 hours using the calendly-meeting-automation-agent integration. Extract attendee names, meeting type, intake form answers, and any post-meeting notes. Produce a completed-meetings manifest as Phase 1 output.

scheduling scanner

Fetch full event detail for each completed meeting: custom field answers, meeting duration, attendee count, and any post-meeting form submissions. Identify meetings that require follow-up action (flagged in intake form or by meeting type). Pass enriched event records to Phase 2.

calendly meeting automation agent

For each meeting's stated issue or topic, call verslay_web_search to find relevant knowledge base articles, product documentation, or industry best practices that should be referenced in the support ticket. Call verslay_news_search to check for any recent product updates or known issues relevant to the meeting topic. Produce a contextual reference brief per meeting.

web researcher

In parallel with web-researcher, analyze the meeting intake form responses and any post-meeting notes from Phase 1 to detect customer sentiment: positive, frustrated, or at-risk. Assign a sentiment score and urgency level per meeting. Produce a sentiment-classification record per attendee.

sentiment analyst

Consume Phase 2 contextual reference briefs and sentiment classifications. Create a Zendesk ticket for each completed meeting requiring follow-up: populate subject (meeting type + account name), body (meeting recap with action items), priority (derived from sentiment urgency), and assigned group. Attach relevant reference links from the Phase 2 web research. Produce Zendesk ticket IDs as output.

zendesk support operations agent

Consume Phase 3 Zendesk ticket IDs, Phase 1 meeting context, and Phase 2 sentiment classifications. Draft a post-meeting recap email per attendee: summary of discussion points, next steps, Zendesk ticket reference number, and expected resolution timeline. Produce ready-to-send recap emails.

email writer

Receive recap emails and Zendesk ticket confirmations from Phases 3 and 4. Send recap emails to meeting attendees. Post a meeting-to-ticket summary to the configured CS Slack channel. Call verslay_memorize to store updated meeting-to-ticket conversion patterns and sentiment baselines in memory. Confirm all deliveries.

distributor

Required Agents

scheduling-scanner
calendly-meeting-automation-agent
web-researcher
sentiment-analyst
zendesk-support-operations-agent
email-writer
distributor

Connections

Required

calendlyzendesk

What it does

Meeting-to-ticket matching
Recap draft
Next-action extraction
Owner handoff
Support queue update

Example prompt

Find customer meetings from Calendly and prepare Zendesk ticket updates with recap, next actions, and owners.

Ready to deploy Meeting Recap to Zendesk Ticket?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Customer Success

Meeting Recap to Zendesk Ticket

Customer calls become support follow-through.

Ensures support and success meetings update the ticket system instead of leaving context in calendars.

Best forProfessional ServicesSaaS

Agents7 required

Duration3-5 minutes

Uses meeting context and support data to prepare ticket notes, next steps, and owner handoffs after customer calls.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior meeting-to-ticket mapping rules, category taxonomies, and SLA thresholds stored in memory. Pull all Calendly meetings that completed in the past 24 hours using the calendly-meeting-automation-agent integration. Extract attendee names, meeting type, intake form answers, and any post-meeting notes. Produce a completed-meetings manifest as Phase 1 output.

scheduling scanner

Fetch full event detail for each completed meeting: custom field answers, meeting duration, attendee count, and any post-meeting form submissions. Identify meetings that require follow-up action (flagged in intake form or by meeting type). Pass enriched event records to Phase 2.

calendly meeting automation agent

For each meeting's stated issue or topic, call verslay_web_search to find relevant knowledge base articles, product documentation, or industry best practices that should be referenced in the support ticket. Call verslay_news_search to check for any recent product updates or known issues relevant to the meeting topic. Produce a contextual reference brief per meeting.

web researcher

In parallel with web-researcher, analyze the meeting intake form responses and any post-meeting notes from Phase 1 to detect customer sentiment: positive, frustrated, or at-risk. Assign a sentiment score and urgency level per meeting. Produce a sentiment-classification record per attendee.

sentiment analyst

Consume Phase 2 contextual reference briefs and sentiment classifications. Create a Zendesk ticket for each completed meeting requiring follow-up: populate subject (meeting type + account name), body (meeting recap with action items), priority (derived from sentiment urgency), and assigned group. Attach relevant reference links from the Phase 2 web research. Produce Zendesk ticket IDs as output.

zendesk support operations agent

Consume Phase 3 Zendesk ticket IDs, Phase 1 meeting context, and Phase 2 sentiment classifications. Draft a post-meeting recap email per attendee: summary of discussion points, next steps, Zendesk ticket reference number, and expected resolution timeline. Produce ready-to-send recap emails.

email writer

Receive recap emails and Zendesk ticket confirmations from Phases 3 and 4. Send recap emails to meeting attendees. Post a meeting-to-ticket summary to the configured CS Slack channel. Call verslay_memorize to store updated meeting-to-ticket conversion patterns and sentiment baselines in memory. Confirm all deliveries.

distributor

Required Agents

scheduling-scanner
calendly-meeting-automation-agent
web-researcher
sentiment-analyst
zendesk-support-operations-agent
email-writer
distributor

Connections

Required

calendlyzendesk

What it does

Meeting-to-ticket matching
Recap draft
Next-action extraction
Owner handoff
Support queue update

Example prompt

Find customer meetings from Calendly and prepare Zendesk ticket updates with recap, next actions, and owners.

Ready to deploy Meeting Recap to Zendesk Ticket?

Start free. One click, full agent orchestration.

Get Started Free →