MCP Server for Revenue Teams

Give Claude your full customer context

Connect your CRM, calls, email, and Slack to Claude in minutes. One MCP server. All your customer data. Unified and ready for your team.

The problem

Individual connectors give Claude fragments. Not the full picture.

You’ve connected Salesforce or HubSpot to Claude — and it helps. But each connector gives Claude one slice. CRM knows deal stages. Gong knows what was said. Slack knows what the team discussed after. No single connection has the full context. The value isn’t in connecting more systems — it’s in connecting them to each other. That’s a context graph.

Individual connectors
CRM
AI sees records
Calls
AI sees transcripts
Email
AI sees threads
Slack
AI sees messages
Calendar
AI sees events
Fragments. Siloed data in, partial truths for AI, incomplete answers out.
vs
Customer Context Graph
CRMCallsEmailSlackCalendar
Customer Context Graph
Entities resolved · Relationships mapped · Activities linked
Your AI agents
Complete picture. One connection. Your AI has full context from every system.

Clearskies connects your customer data across every system into a single MCP server — so Claude reasons across the full picture, not fragments of it.

How it works

Three steps to full context

01

Connect your systems

Connect your CRM, call transcripts, email, calendar, and Slack. No custom engineering required. No field mapping. Takes minutes.

02

Your context graph builds automatically

Clearskies resolves entities, maps relationships, and links activities across every system — automatically. One coherent knowledge graph, not five disconnected data dumps.

03

Connect Clearskies to Claude

Add Clearskies as an integration in Claude — just like any other connected app. Your team’s Claude now has full customer context, ready to query.

The context graph is delivered to Claude via MCP (Model Context Protocol), Anthropic’s native protocol for connecting AI to external context. Claude doesn’t just get raw data — it gets a coherent view of your entire revenue landscape.

Your data stays secureYou own the graphNo vendor lock-inNo one-off connector maintenanceZero user license fees
What your team can ask

One question. Full picture.

What's the full picture on the Acme renewal?

Pulls from Salesforce, Gong, Gmail, Slack

Which deals in my pipeline have gone quiet this week?

Pulls from Salesforce, email, calendar, Slack

Prep me for my 2pm call with Northwind

Pulls from calendar, Gong, Salesforce, email

What did our champion at Contoso say about pricing on the last call?

Pulls from Gong, Salesforce contact records

Summarize all customer activity for my QBR tomorrow

Pulls from Salesforce, Gong, email, Slack

Are there any deals where the competitor was mentioned recently?

Pulls from Gong, Slack, email

Why unified matters

Individual connections vs. Context Graph

Individual connectionsContext Graph
Cross-system questionsClaude pieces it together ad hocRelationships already resolved
Entity resolutionYou build and maintain itHandled for you
SetupConfigure and maintain each connectorConnect once, unified automatically
MaintenanceFix each connector when APIs changeManaged for you

The teams that have figured this out are already leaping ahead. They’re not waiting for better AI — they’re giving their AI better context.

Claude is ready.
Give it the context to prove it.

See how a unified revenue context graph gives your team cross-system intelligence inside Claude — in hours, not months.