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

Marketing

Ad Campaign Analyzer

Turn ad spend into measurable revenue growth.

Stop bleeding budget on underperforming ads — get a ranked fix list in minutes. Know exactly which campaigns to kill, scale, or tweak to hit ROAS targets.

Best forEcommerceMarketing AgencySaaS

Agents7 required

Duration3-5 minutes

Pulls ad data, benchmarks against platform norms, diagnoses issues, and produces prioritized optimization plan.

How it runs

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

Call verslay_recall to retrieve stored campaign benchmarks, prior ROAS targets, and audience segment notes from memory. Connect to Meta Ads via the integrated provider to pull all active and recently completed campaigns: spend, impressions, CTR, CPC, ROAS, and creative IDs for the date range specified by the user. Produce a raw campaign performance dataset as Phase 1 output.

ads scanner

Call verslay_exclusive_meta_ads_search using the user's product category and competitor brand names to scrape live competitor ad creatives, messaging angles, and estimated spend signals from the Meta Ad Library. Call verslay_news_search on the product category to surface industry-level ad trend coverage. Produce a competitor creative and messaging analysis for Phase 4.

competitive intel

In parallel with competitive-intel, call verslay_web_search and verslay_reddit_search on the product category to identify audience sentiment drivers, objection patterns, and creative themes that resonate organically. Cross-reference Phase 1 underperforming ad themes against community language patterns. Pass audience insight notes to creative-director.

web researcher

Consume Phase 1 campaign data (sorted by ROAS), Phase 2 competitor creative analysis, and Phase 2 audience insights. Identify the top 3 winning creative patterns and the 3 worst-performing creative archetypes. Recommend 5 new creative hypotheses with specific angle, format (video/carousel/static), and audience segment targeting rationale. Pass recommendations to data-analyst.

creative director

Consume Phase 1 raw campaign data and Phase 3 creative recommendations. Calculate spend efficiency by campaign, ad set, and creative. Call verslay_chart_create to produce a ROAS-by-creative-type bar chart and a spend-vs-conversion scatter plot. Build a ranked optimization table: campaign, current ROAS, recommended budget shift, and expected ROAS lift.

data analyst

Consume Phase 4 charts and optimization table, Phase 3 creative recommendations, and Phase 2 competitor analysis. Write an executive campaign performance brief: key wins, underperformers, competitive positioning gaps, prioritized action items (pause / scale / test), and projected impact. Call verslay_memorize to store updated ROAS benchmarks and creative winners in memory.

executive briefing writer

Consume Phase 5 executive brief action items. Apply approved optimizations directly in Meta Ads: pause underperforming ad sets, adjust budgets on top performers, and flag creative hypotheses from Phase 3 for A/B test creation. Return a change log confirming each action taken.

ad optimizer

Required Agents

ads-scanner
competitive-intel
web-researcher
creative-director
data-analyst
executive-briefing-writer
ad-optimizer

Connections

Required

metaverslay_exclusive

What it does

Cross-platform ad analysis
Platform benchmark comparison
Root cause diagnosis
Budget reallocation plan
Expected ROAS lift per action

Example prompt

Which platforms should I analyze (Google Ads, Meta Ads, or both), what time window (e.g. last 30 days), and which metrics matter most (ROAS, CTR, CPA)? I will then tell you which campaigns to scale, pause, or optimize.

Ready to deploy Ad Campaign Analyzer?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Marketing

Ad Campaign Analyzer

Turn ad spend into measurable revenue growth.

Stop bleeding budget on underperforming ads — get a ranked fix list in minutes. Know exactly which campaigns to kill, scale, or tweak to hit ROAS targets.

Best forEcommerceMarketing AgencySaaS

Agents7 required

Duration3-5 minutes

Pulls ad data, benchmarks against platform norms, diagnoses issues, and produces prioritized optimization plan.

How it runs

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

Call verslay_recall to retrieve stored campaign benchmarks, prior ROAS targets, and audience segment notes from memory. Connect to Meta Ads via the integrated provider to pull all active and recently completed campaigns: spend, impressions, CTR, CPC, ROAS, and creative IDs for the date range specified by the user. Produce a raw campaign performance dataset as Phase 1 output.

ads scanner

Call verslay_exclusive_meta_ads_search using the user's product category and competitor brand names to scrape live competitor ad creatives, messaging angles, and estimated spend signals from the Meta Ad Library. Call verslay_news_search on the product category to surface industry-level ad trend coverage. Produce a competitor creative and messaging analysis for Phase 4.

competitive intel

In parallel with competitive-intel, call verslay_web_search and verslay_reddit_search on the product category to identify audience sentiment drivers, objection patterns, and creative themes that resonate organically. Cross-reference Phase 1 underperforming ad themes against community language patterns. Pass audience insight notes to creative-director.

web researcher

Consume Phase 1 campaign data (sorted by ROAS), Phase 2 competitor creative analysis, and Phase 2 audience insights. Identify the top 3 winning creative patterns and the 3 worst-performing creative archetypes. Recommend 5 new creative hypotheses with specific angle, format (video/carousel/static), and audience segment targeting rationale. Pass recommendations to data-analyst.

creative director

Consume Phase 1 raw campaign data and Phase 3 creative recommendations. Calculate spend efficiency by campaign, ad set, and creative. Call verslay_chart_create to produce a ROAS-by-creative-type bar chart and a spend-vs-conversion scatter plot. Build a ranked optimization table: campaign, current ROAS, recommended budget shift, and expected ROAS lift.

data analyst

Consume Phase 4 charts and optimization table, Phase 3 creative recommendations, and Phase 2 competitor analysis. Write an executive campaign performance brief: key wins, underperformers, competitive positioning gaps, prioritized action items (pause / scale / test), and projected impact. Call verslay_memorize to store updated ROAS benchmarks and creative winners in memory.

executive briefing writer

Consume Phase 5 executive brief action items. Apply approved optimizations directly in Meta Ads: pause underperforming ad sets, adjust budgets on top performers, and flag creative hypotheses from Phase 3 for A/B test creation. Return a change log confirming each action taken.

ad optimizer

Required Agents

ads-scanner
competitive-intel
web-researcher
creative-director
data-analyst
executive-briefing-writer
ad-optimizer

Connections

Required

metaverslay_exclusive

What it does

Cross-platform ad analysis
Platform benchmark comparison
Root cause diagnosis
Budget reallocation plan
Expected ROAS lift per action

Example prompt

Which platforms should I analyze (Google Ads, Meta Ads, or both), what time window (e.g. last 30 days), and which metrics matter most (ROAS, CTR, CPA)? I will then tell you which campaigns to scale, pause, or optimize.

Ready to deploy Ad Campaign Analyzer?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Marketing

Ad Campaign Analyzer

Turn ad spend into measurable revenue growth.

Stop bleeding budget on underperforming ads — get a ranked fix list in minutes. Know exactly which campaigns to kill, scale, or tweak to hit ROAS targets.

Best forEcommerceMarketing AgencySaaS

Agents7 required

Duration3-5 minutes

Pulls ad data, benchmarks against platform norms, diagnoses issues, and produces prioritized optimization plan.

How it runs

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

Call verslay_recall to retrieve stored campaign benchmarks, prior ROAS targets, and audience segment notes from memory. Connect to Meta Ads via the integrated provider to pull all active and recently completed campaigns: spend, impressions, CTR, CPC, ROAS, and creative IDs for the date range specified by the user. Produce a raw campaign performance dataset as Phase 1 output.

ads scanner

Call verslay_exclusive_meta_ads_search using the user's product category and competitor brand names to scrape live competitor ad creatives, messaging angles, and estimated spend signals from the Meta Ad Library. Call verslay_news_search on the product category to surface industry-level ad trend coverage. Produce a competitor creative and messaging analysis for Phase 4.

competitive intel

In parallel with competitive-intel, call verslay_web_search and verslay_reddit_search on the product category to identify audience sentiment drivers, objection patterns, and creative themes that resonate organically. Cross-reference Phase 1 underperforming ad themes against community language patterns. Pass audience insight notes to creative-director.

web researcher

Consume Phase 1 campaign data (sorted by ROAS), Phase 2 competitor creative analysis, and Phase 2 audience insights. Identify the top 3 winning creative patterns and the 3 worst-performing creative archetypes. Recommend 5 new creative hypotheses with specific angle, format (video/carousel/static), and audience segment targeting rationale. Pass recommendations to data-analyst.

creative director

Consume Phase 1 raw campaign data and Phase 3 creative recommendations. Calculate spend efficiency by campaign, ad set, and creative. Call verslay_chart_create to produce a ROAS-by-creative-type bar chart and a spend-vs-conversion scatter plot. Build a ranked optimization table: campaign, current ROAS, recommended budget shift, and expected ROAS lift.

data analyst

Consume Phase 4 charts and optimization table, Phase 3 creative recommendations, and Phase 2 competitor analysis. Write an executive campaign performance brief: key wins, underperformers, competitive positioning gaps, prioritized action items (pause / scale / test), and projected impact. Call verslay_memorize to store updated ROAS benchmarks and creative winners in memory.

executive briefing writer

Consume Phase 5 executive brief action items. Apply approved optimizations directly in Meta Ads: pause underperforming ad sets, adjust budgets on top performers, and flag creative hypotheses from Phase 3 for A/B test creation. Return a change log confirming each action taken.

ad optimizer

Required Agents

ads-scanner
competitive-intel
web-researcher
creative-director
data-analyst
executive-briefing-writer
ad-optimizer

Connections

Required

metaverslay_exclusive

What it does

Cross-platform ad analysis
Platform benchmark comparison
Root cause diagnosis
Budget reallocation plan
Expected ROAS lift per action

Example prompt

Which platforms should I analyze (Google Ads, Meta Ads, or both), what time window (e.g. last 30 days), and which metrics matter most (ROAS, CTR, CPA)? I will then tell you which campaigns to scale, pause, or optimize.

Ready to deploy Ad Campaign Analyzer?

Start free. One click, full agent orchestration.

Get Started Free →