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When you connect an AI to Clearskies over MCP, it gets a set of tools for reading your Context Graph and building in Clearskies. This page describes what those tools let a connected AI do, whether that’s Claude, ChatGPT, Cursor, Grok Bot, or a platform like n8n or Retool. For connection steps, see MCP Server. The categories below describe what’s available. The exact set of tools is always what your connected AI sees when it connects.

CRM records

Read the accounts, contacts, and deals in your graph, and answer questions across them.
  • List and read records: pull your accounts, contacts, and deals, plus any other object type in your graph
  • Drill into an account: pull one account’s contacts or deals directly
  • Aggregate: run counts and other rollups across records, like pipeline by stage or deals by owner, without pulling every record into the conversation

Schema discovery

Before querying, a connected AI can look up which object types and fields exist in your workspace, so it queries real fields instead of guessing.
  • Object types: see the object types in your graph
  • Fields: see the fields on one object type
  • Search: find relevant objects and fields without pulling the full list

Activity and communications

The calls, emails, and meetings connected to your accounts: not just that they happened, but what was said.
  • List and search: find calls, emails, and meetings across the graph or for a specific account
  • Read contents: get the substance of a call, email, or meeting, like a call transcript or an email body
  • Look ahead: see upcoming meetings, useful for call prep

Team and workspace

  • People: see the people on your team, so an AI can attribute activity to the right owner
  • Identity: know who the connected user is
  • Slack: see the Slack channels available in your workspace

Support tickets

Read support tickets connected to your graph, so account health questions can include what’s happening in support.

Engineering activity

Read GitHub activity connected to your graph, putting engineering work alongside CRM and communication data.

Deep research

For questions that span many records and sources, a connected AI can hand the work to Clearskies instead of assembling it piece by piece. Clearskies runs the research across your graph and returns the result when it’s ready.

Building workflows and agents

Beyond reading data, a connected AI can take Clearskies workflows and agents through their full lifecycle: create, validate, test, and publish. It checks what your workspace supports before it builds. See Manage workflows from Claude, ChatGPT, Cursor, or Grok Bot and Manage agents from Claude, ChatGPT, Cursor, or Grok Bot for how that works. To put these tools to work from an assistant, see Build in Claude, ChatGPT, Cursor, or Grok Bot.