HubSpot
Connect your HubSpot portal once.
The MCP server for your
customer stack.
Clearskies is the MCP server for Salesforce, HubSpot, Gong, Slack, Gmail, Outlook, Pylon: every system that touches your customer. One endpoint connects them all to Claude, ChatGPT, Cursor, n8n, and any MCP-compatible AI.
One MCP endpoint.
Every system behind it.
MCP — the Model Context Protocol — is the open standard for connecting AI to external data. Instead of wiring up Salesforce, HubSpot, Gong, Slack, and email one at a time inside Claude or ChatGPT, you connect them once to Clearskies and point any MCP-compatible AI at the Clearskies endpoint.
Behind that endpoint, Clearskies resolves identity, timelines, and relationships across every connected system. So a question like “what’s the status of the Acme deal?” returns one coherent answer built from CRM, calls, email, and Slack — not five fragments the model has to stitch together.
CRM
Salesforce
Connect your Salesforce org once.
Attio
Modern CRM context flowing into the graph alongside calls, email, and Slack.
Calls
Fathom
Fathom transcripts and meeting summaries flow into the graph and get resolved against the right deal, contact, and account automatically.
Gong
Every call transcript, summary, and identified moment.
Granola
Granola meeting notes, summaries, and action items flow into the context graph, resolved against the right deal, contact, and account automatically.
Scratchpad
Calls, notes, and pipeline updates from Scratchpad join the context graph so AI works from the same signal reps work from.
Fireflies
Fireflies meeting transcripts and summaries in the context graph.
Gmail
Customer email threads across every rep, resolved to the right deal and contact and searchable in the graph.
Outlook
Outlook customer threads flow into the context graph with full identity resolution across the org.
Calendar
Google Calendar
Meetings, attendees, and titles become part of the relationship signal, so AI knows who actually engaged, not just who was emailed.
Outlook Calendar
Microsoft 365 calendar events and attendees join the relationship graph alongside email, calls, and CRM.
Messaging
Microsoft Teams
Teams channels and customer chats in the context graph.
Slack
Customer-channel and deal-room conversations become first-class context, without the model crawling Slack on every query.
Support
Pylon
Support conversations and ticket signal join the graph alongside CRM and calls, so AI sees the full customer health picture.
Intercom
Intercom conversations and ticket data in the context graph.
Zendesk
Zendesk tickets and support history in the context graph.
Project & tickets
Jira
Issue-tracking work tied to the accounts it affects, so AI can tell you whether the bug blocking a renewal is fixed.
Linear
Engineering work tied to customer commitments, so AI can tell you when the feature a deal hinges on actually ships.
Status
Live
Generally available. Used in production by Clearskies customers today.
Beta
Available to customers on request. We’re still hardening edges.
Roadmap
Not yet built. Tell us you need it.
MCP, in plain answers.
What is an MCP server?
An MCP server is a connector that exposes a system — a CRM, a call-recording tool, an email inbox — to AI clients through the Model Context Protocol (MCP), the open standard Anthropic introduced for connecting AI to external data. Once a tool is reachable as an MCP server, any MCP-compatible AI — Claude, ChatGPT, Cursor, n8n, custom agents — can read from it (and sometimes write to it) without the user wiring it in manually.
What MCP servers does Clearskies provide?
Clearskies provides one MCP endpoint that exposes a unified customer context graph built from every connected system. Today the live integrations behind that endpoint are Salesforce, HubSpot, Gong, Scratchpad, Fathom, Granola, Fireflies, Gmail, Outlook, Google Calendar, Outlook Calendar, Slack, Microsoft Teams, Pylon, Intercom, Linear, Jira, and GitHub. Roadmap: Attio, Zendesk, Notion, Snowflake.
How is Clearskies different from a single-tool MCP server?
A single-tool MCP server gives AI access to one system in isolation. Clearskies resolves identity, timeline, and relationships across all connected systems before AI queries it — so a question like “what’s the status of the Acme deal?” returns a single coherent answer built from CRM, calls, email, and Slack, not five fragments the model has to stitch together. The benefit compounds: cheaper queries (one MCP call instead of five-to-fifteen), more consistent answers across runs, portable to every AI your team uses — Claude, ChatGPT, Cursor — and one endpoint to deploy and govern instead of per-tool connections in every user’s workspace.
What AI clients can connect to the Clearskies MCP server?
Any MCP-compatible client. Confirmed: Claude (desktop and web), ChatGPT (custom GPTs and agents), Cursor, n8n, Retool. The endpoint is standard MCP, so new clients work automatically as they adopt the protocol.
Tell us what to connect next.
We prioritize integrations by customer demand. If your system isn’t here yet, the fastest path to making it available is to tell us you need it.
