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

Operations

Unified Knowledge Surface

One project truth across docs and tasks.

Reduces handoff time by combining knowledge docs, drive files, and task execution state into a single read.

Best forConsultingMarketing AgencyProfessional ServicesSaaS

Agents7 required

Duration5-10 minutes

Unifies documents and task state across knowledge and project systems, producing a brief with decisions, files, tasks, risks, and missing owners.

How it runs

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

Call verslay_recall to retrieve prior knowledge surface state and cross-system link maps from memory. Then query configured Notion databases (project docs, decisions, SOPs, meeting notes) to retrieve pages updated in the last 7 days — extracting page title, owner, last-edited date, and content summary. In parallel, call clickup-workspace-orchestrator to pull recently updated tasks and comments. Store both system outputs as Phase 1 output.

notion knowledge base operator

Consume Phase 1 cross-system data. Scan the user's Google Drive for documents modified in the last 7 days in the configured project folders — extracting file name, owner, last-modified date, and file type. Cross-reference Drive doc titles with Notion page titles to detect duplicates (same document existing in both systems). Build a cross-system content inventory.

inbox scanner

In parallel with inbox-scanner, call verslay_web_search and verslay_news_search targeting 'knowledge management cross-platform consolidation best practices' and 'single source of truth knowledge base'. Call verslay_scholar_search for organizational knowledge management research. Pass framework guidance for resolving duplication and establishing authority sources to Phase 3.

web researcher

Consume Phase 1 Notion + ClickUp data, Phase 2 Drive inventory, and Phase 2 framework guidance. Perform cross-system synthesis: (a) link ClickUp tasks to their corresponding Notion project pages; (b) flag duplicate content across Notion and Drive; (c) identify knowledge gaps — ClickUp projects with no Notion documentation, decisions with no linked tasks. Produce a unified cross-system knowledge map.

knowledge synthesizer

Consume Phase 3 unified knowledge map. Compute knowledge surface health metrics: coverage rate (ClickUp projects with linked Notion docs), duplication count, gap count, and content freshness score (average age of linked documents). Call verslay_chart_create to build a cross-system coverage bar chart (Notion / Drive / ClickUp by project) and a knowledge-gap severity matrix. Produce a health scorecard.

data analyst

Consume Phase 4 health scorecard, coverage chart, and gap matrix. Write a unified knowledge surface report: coverage summary by system, top five gaps with recommended owners, duplicate resolution actions, and a recommended 'authority source' designation for each duplicated content area. Call verslay_memorize to store the cross-system link map and knowledge health state in memory.

executive briefing writer

Receive the unified knowledge surface report from executive-briefing-writer. Deliver to the configured Slack channel or email the operations team. Confirm delivery and log send timestamp.

distributor

Required Agents

notion-knowledge-base-operator
inbox-scanner
web-researcher
knowledge-synthesizer
data-analyst
executive-briefing-writer
distributor

Connections

Required

notiongoogleclickup

What it does

Cross-source project context
Decision and file summary
Task state rollup
Owner gap detection
Unified brief

Example prompt

Create a unified project brief from Notion docs, Google Drive files, and ClickUp tasks. Include decisions, blockers, files, owners, and next actions.

Ready to deploy Unified Knowledge Surface?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Operations

Unified Knowledge Surface

One project truth across docs and tasks.

Reduces handoff time by combining knowledge docs, drive files, and task execution state into a single read.

Best forConsultingMarketing AgencyProfessional ServicesSaaS

Agents7 required

Duration5-10 minutes

Unifies documents and task state across knowledge and project systems, producing a brief with decisions, files, tasks, risks, and missing owners.

How it runs

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

Call verslay_recall to retrieve prior knowledge surface state and cross-system link maps from memory. Then query configured Notion databases (project docs, decisions, SOPs, meeting notes) to retrieve pages updated in the last 7 days — extracting page title, owner, last-edited date, and content summary. In parallel, call clickup-workspace-orchestrator to pull recently updated tasks and comments. Store both system outputs as Phase 1 output.

notion knowledge base operator

Consume Phase 1 cross-system data. Scan the user's Google Drive for documents modified in the last 7 days in the configured project folders — extracting file name, owner, last-modified date, and file type. Cross-reference Drive doc titles with Notion page titles to detect duplicates (same document existing in both systems). Build a cross-system content inventory.

inbox scanner

In parallel with inbox-scanner, call verslay_web_search and verslay_news_search targeting 'knowledge management cross-platform consolidation best practices' and 'single source of truth knowledge base'. Call verslay_scholar_search for organizational knowledge management research. Pass framework guidance for resolving duplication and establishing authority sources to Phase 3.

web researcher

Consume Phase 1 Notion + ClickUp data, Phase 2 Drive inventory, and Phase 2 framework guidance. Perform cross-system synthesis: (a) link ClickUp tasks to their corresponding Notion project pages; (b) flag duplicate content across Notion and Drive; (c) identify knowledge gaps — ClickUp projects with no Notion documentation, decisions with no linked tasks. Produce a unified cross-system knowledge map.

knowledge synthesizer

Consume Phase 3 unified knowledge map. Compute knowledge surface health metrics: coverage rate (ClickUp projects with linked Notion docs), duplication count, gap count, and content freshness score (average age of linked documents). Call verslay_chart_create to build a cross-system coverage bar chart (Notion / Drive / ClickUp by project) and a knowledge-gap severity matrix. Produce a health scorecard.

data analyst

Consume Phase 4 health scorecard, coverage chart, and gap matrix. Write a unified knowledge surface report: coverage summary by system, top five gaps with recommended owners, duplicate resolution actions, and a recommended 'authority source' designation for each duplicated content area. Call verslay_memorize to store the cross-system link map and knowledge health state in memory.

executive briefing writer

Receive the unified knowledge surface report from executive-briefing-writer. Deliver to the configured Slack channel or email the operations team. Confirm delivery and log send timestamp.

distributor

Required Agents

notion-knowledge-base-operator
inbox-scanner
web-researcher
knowledge-synthesizer
data-analyst
executive-briefing-writer
distributor

Connections

Required

notiongoogleclickup

What it does

Cross-source project context
Decision and file summary
Task state rollup
Owner gap detection
Unified brief

Example prompt

Create a unified project brief from Notion docs, Google Drive files, and ClickUp tasks. Include decisions, blockers, files, owners, and next actions.

Ready to deploy Unified Knowledge Surface?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Operations

Unified Knowledge Surface

One project truth across docs and tasks.

Reduces handoff time by combining knowledge docs, drive files, and task execution state into a single read.

Best forConsultingMarketing AgencyProfessional ServicesSaaS

Agents7 required

Duration5-10 minutes

Unifies documents and task state across knowledge and project systems, producing a brief with decisions, files, tasks, risks, and missing owners.

How it runs

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

Call verslay_recall to retrieve prior knowledge surface state and cross-system link maps from memory. Then query configured Notion databases (project docs, decisions, SOPs, meeting notes) to retrieve pages updated in the last 7 days — extracting page title, owner, last-edited date, and content summary. In parallel, call clickup-workspace-orchestrator to pull recently updated tasks and comments. Store both system outputs as Phase 1 output.

notion knowledge base operator

Consume Phase 1 cross-system data. Scan the user's Google Drive for documents modified in the last 7 days in the configured project folders — extracting file name, owner, last-modified date, and file type. Cross-reference Drive doc titles with Notion page titles to detect duplicates (same document existing in both systems). Build a cross-system content inventory.

inbox scanner

In parallel with inbox-scanner, call verslay_web_search and verslay_news_search targeting 'knowledge management cross-platform consolidation best practices' and 'single source of truth knowledge base'. Call verslay_scholar_search for organizational knowledge management research. Pass framework guidance for resolving duplication and establishing authority sources to Phase 3.

web researcher

Consume Phase 1 Notion + ClickUp data, Phase 2 Drive inventory, and Phase 2 framework guidance. Perform cross-system synthesis: (a) link ClickUp tasks to their corresponding Notion project pages; (b) flag duplicate content across Notion and Drive; (c) identify knowledge gaps — ClickUp projects with no Notion documentation, decisions with no linked tasks. Produce a unified cross-system knowledge map.

knowledge synthesizer

Consume Phase 3 unified knowledge map. Compute knowledge surface health metrics: coverage rate (ClickUp projects with linked Notion docs), duplication count, gap count, and content freshness score (average age of linked documents). Call verslay_chart_create to build a cross-system coverage bar chart (Notion / Drive / ClickUp by project) and a knowledge-gap severity matrix. Produce a health scorecard.

data analyst

Consume Phase 4 health scorecard, coverage chart, and gap matrix. Write a unified knowledge surface report: coverage summary by system, top five gaps with recommended owners, duplicate resolution actions, and a recommended 'authority source' designation for each duplicated content area. Call verslay_memorize to store the cross-system link map and knowledge health state in memory.

executive briefing writer

Receive the unified knowledge surface report from executive-briefing-writer. Deliver to the configured Slack channel or email the operations team. Confirm delivery and log send timestamp.

distributor

Required Agents

notion-knowledge-base-operator
inbox-scanner
web-researcher
knowledge-synthesizer
data-analyst
executive-briefing-writer
distributor

Connections

Required

notiongoogleclickup

What it does

Cross-source project context
Decision and file summary
Task state rollup
Owner gap detection
Unified brief

Example prompt

Create a unified project brief from Notion docs, Google Drive files, and ClickUp tasks. Include decisions, blockers, files, owners, and next actions.

Ready to deploy Unified Knowledge Surface?

Start free. One click, full agent orchestration.

Get Started Free →