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

Performance Review Compiler

Performance reviews written from actual evidence, not memory.

Pull performance evidence from email, calendar, and project tools, apply structured review frameworks, and produce calibrated reviews with SMART development goals. Cut review cycle prep time by 70%.

Best forConsultingFinancial ServicesHealthcareMarketing AgencyProfessional ServicesSaaS

Agents6 required

Duration5-10 minutes

Scans email for commendations and pulls project data, compiles reviews with competency ratings and SMART goals.

How it runs

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

Call verslay_recall to retrieve prior performance review templates, scoring rubrics, and calibration guidelines from memory. Connect to Google Drive to pull all performance review input documents for the specified review cycle: self-assessments, manager observation notes, peer feedback forms, and any OKR/goal completion records stored in the configured review folder. Produce a structured review input corpus as Phase 1 output.

docs manager

Consume Phase 1 review input corpus. For each reviewee, synthesize all input sources (self-assessment, manager notes, peer feedback) into a unified evidence package. Score performance across standard dimensions (goal achievement, skills development, collaboration, leadership/initiative) using the rubric from memory. Identify top strengths (top 3 patterns) and development areas (top 2 patterns) with supporting evidence quotes. Produce a structured compiled review dataset for Phase 4.

review compiler

In parallel with review-compiler, call verslay_scholar_search for academic research on performance appraisal best practices, calibration methods, and bias-reduction frameworks. Call verslay_web_search for '360-degree review writing guidelines 2026' and the user's industry-specific performance frameworks (e.g., OKR calibration, competency frameworks for software engineering or sales). Call verslay_news_search for any recent updates to performance management methodologies. Produce a performance review frameworks package for Phase 3.

web researcher

Consume Phase 2 compiled review dataset and Phase 2 frameworks package. Aggregate scores across all reviewees by team and seniority level to identify calibration patterns: score distribution, potential calibration biases (leniency bias, central tendency), and outliers requiring manager attention. Call verslay_chart_create to generate a score distribution histogram and a team-level performance heatmap. Produce a calibration analysis package for Phase 4.

data analyst

Consume Phase 3 calibration analysis and charts, Phase 2 compiled reviews, and Phase 2 frameworks. Write the performance review compilation summary: score distribution overview, calibration notes and bias flags, top performers identified, development plan priorities, and recommended compensation or promotion considerations. Individual review summaries ready for manager sign-off. Call verslay_memorize to store the current review cycle's score distribution, top performers, and calibration findings as baseline. Pass to distributor.

executive briefing writer

Receive the performance review compilation from executive-briefing-writer. Distribute to the configured HR and executive email or Slack channel. Confirm delivery and log the send timestamp.

distributor

Required Agents

docs-manager
review-compiler
web-researcher
data-analyst
executive-briefing-writer
distributor

Connections

Required

google

What it does

Evidence-backed ratings
Blind-consistent scoring
SMART goal generation
Manager-ready format
Evidence appendix

Example prompt

Which team or department, which review period (Jan-June, Q1-Q2, full year), and which sources (peer feedback, 1:1 notes, project outcomes, OKR results)? I will format each review with strengths, growth areas, and next-period goals, and flag promotion or PIP candidates.

Ready to deploy Performance Review Compiler?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Performance Review Compiler

Performance reviews written from actual evidence, not memory.

Pull performance evidence from email, calendar, and project tools, apply structured review frameworks, and produce calibrated reviews with SMART development goals. Cut review cycle prep time by 70%.

Best forConsultingFinancial ServicesHealthcareMarketing AgencyProfessional ServicesSaaS

Agents6 required

Duration5-10 minutes

Scans email for commendations and pulls project data, compiles reviews with competency ratings and SMART goals.

How it runs

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

Call verslay_recall to retrieve prior performance review templates, scoring rubrics, and calibration guidelines from memory. Connect to Google Drive to pull all performance review input documents for the specified review cycle: self-assessments, manager observation notes, peer feedback forms, and any OKR/goal completion records stored in the configured review folder. Produce a structured review input corpus as Phase 1 output.

docs manager

Consume Phase 1 review input corpus. For each reviewee, synthesize all input sources (self-assessment, manager notes, peer feedback) into a unified evidence package. Score performance across standard dimensions (goal achievement, skills development, collaboration, leadership/initiative) using the rubric from memory. Identify top strengths (top 3 patterns) and development areas (top 2 patterns) with supporting evidence quotes. Produce a structured compiled review dataset for Phase 4.

review compiler

In parallel with review-compiler, call verslay_scholar_search for academic research on performance appraisal best practices, calibration methods, and bias-reduction frameworks. Call verslay_web_search for '360-degree review writing guidelines 2026' and the user's industry-specific performance frameworks (e.g., OKR calibration, competency frameworks for software engineering or sales). Call verslay_news_search for any recent updates to performance management methodologies. Produce a performance review frameworks package for Phase 3.

web researcher

Consume Phase 2 compiled review dataset and Phase 2 frameworks package. Aggregate scores across all reviewees by team and seniority level to identify calibration patterns: score distribution, potential calibration biases (leniency bias, central tendency), and outliers requiring manager attention. Call verslay_chart_create to generate a score distribution histogram and a team-level performance heatmap. Produce a calibration analysis package for Phase 4.

data analyst

Consume Phase 3 calibration analysis and charts, Phase 2 compiled reviews, and Phase 2 frameworks. Write the performance review compilation summary: score distribution overview, calibration notes and bias flags, top performers identified, development plan priorities, and recommended compensation or promotion considerations. Individual review summaries ready for manager sign-off. Call verslay_memorize to store the current review cycle's score distribution, top performers, and calibration findings as baseline. Pass to distributor.

executive briefing writer

Receive the performance review compilation from executive-briefing-writer. Distribute to the configured HR and executive email or Slack channel. Confirm delivery and log the send timestamp.

distributor

Required Agents

docs-manager
review-compiler
web-researcher
data-analyst
executive-briefing-writer
distributor

Connections

Required

google

What it does

Evidence-backed ratings
Blind-consistent scoring
SMART goal generation
Manager-ready format
Evidence appendix

Example prompt

Which team or department, which review period (Jan-June, Q1-Q2, full year), and which sources (peer feedback, 1:1 notes, project outcomes, OKR results)? I will format each review with strengths, growth areas, and next-period goals, and flag promotion or PIP candidates.

Ready to deploy Performance Review Compiler?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Performance Review Compiler

Performance reviews written from actual evidence, not memory.

Pull performance evidence from email, calendar, and project tools, apply structured review frameworks, and produce calibrated reviews with SMART development goals. Cut review cycle prep time by 70%.

Best forConsultingFinancial ServicesHealthcareMarketing AgencyProfessional ServicesSaaS

Agents6 required

Duration5-10 minutes

Scans email for commendations and pulls project data, compiles reviews with competency ratings and SMART goals.

How it runs

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

Call verslay_recall to retrieve prior performance review templates, scoring rubrics, and calibration guidelines from memory. Connect to Google Drive to pull all performance review input documents for the specified review cycle: self-assessments, manager observation notes, peer feedback forms, and any OKR/goal completion records stored in the configured review folder. Produce a structured review input corpus as Phase 1 output.

docs manager

Consume Phase 1 review input corpus. For each reviewee, synthesize all input sources (self-assessment, manager notes, peer feedback) into a unified evidence package. Score performance across standard dimensions (goal achievement, skills development, collaboration, leadership/initiative) using the rubric from memory. Identify top strengths (top 3 patterns) and development areas (top 2 patterns) with supporting evidence quotes. Produce a structured compiled review dataset for Phase 4.

review compiler

In parallel with review-compiler, call verslay_scholar_search for academic research on performance appraisal best practices, calibration methods, and bias-reduction frameworks. Call verslay_web_search for '360-degree review writing guidelines 2026' and the user's industry-specific performance frameworks (e.g., OKR calibration, competency frameworks for software engineering or sales). Call verslay_news_search for any recent updates to performance management methodologies. Produce a performance review frameworks package for Phase 3.

web researcher

Consume Phase 2 compiled review dataset and Phase 2 frameworks package. Aggregate scores across all reviewees by team and seniority level to identify calibration patterns: score distribution, potential calibration biases (leniency bias, central tendency), and outliers requiring manager attention. Call verslay_chart_create to generate a score distribution histogram and a team-level performance heatmap. Produce a calibration analysis package for Phase 4.

data analyst

Consume Phase 3 calibration analysis and charts, Phase 2 compiled reviews, and Phase 2 frameworks. Write the performance review compilation summary: score distribution overview, calibration notes and bias flags, top performers identified, development plan priorities, and recommended compensation or promotion considerations. Individual review summaries ready for manager sign-off. Call verslay_memorize to store the current review cycle's score distribution, top performers, and calibration findings as baseline. Pass to distributor.

executive briefing writer

Receive the performance review compilation from executive-briefing-writer. Distribute to the configured HR and executive email or Slack channel. Confirm delivery and log the send timestamp.

distributor

Required Agents

docs-manager
review-compiler
web-researcher
data-analyst
executive-briefing-writer
distributor

Connections

Required

google

What it does

Evidence-backed ratings
Blind-consistent scoring
SMART goal generation
Manager-ready format
Evidence appendix

Example prompt

Which team or department, which review period (Jan-June, Q1-Q2, full year), and which sources (peer feedback, 1:1 notes, project outcomes, OKR results)? I will format each review with strengths, growth areas, and next-period goals, and flag promotion or PIP candidates.

Ready to deploy Performance Review Compiler?

Start free. One click, full agent orchestration.

Get Started Free →