Project & tickets · Integration·Live

Clearskies + Jira

Issue-tracking work tied to the accounts it affects — flowing into the graph so AI can tell you whether the bug blocking a renewal is actually fixed.

Clearskies is the MCP server for Jira. Connect Jira once. Claude, ChatGPT, Cursor, n8n, and any other MCP-compatible AI query Jira data — resolved into a unified customer context graph — through a single Model Context Protocol endpoint.

What Clearskies reads

Every signal that matters from Jira.

  • +Issues, projects, and comments
  • +Status and resolution changes
  • +Customer-mention resolution across issues
Setup

Minutes. No custom engineering.

Auth
API token
Time
Minutes
Status
live
Frequently asked

Jira + MCP, in plain answers.

Is there an MCP server for Jira?

Yes. Clearskies is the MCP server for Jira. Connect Jira once and any MCP-compatible AI — Claude, ChatGPT, Cursor, n8n, and others — can query Jira data through a single endpoint, resolved into a unified customer context graph.

How do I connect Jira to Claude?

Sign up at app.clearskies.cc, connect Jira, and add the Clearskies MCP server to Claude. Claude will then have access to Jira data alongside the rest of your connected stack. Setup takes minutes. Auth is API token.

How do I give ChatGPT access to my Jira data?

Connect Jira to Clearskies, then point ChatGPT (or any custom GPT / agent) at the Clearskies MCP endpoint. ChatGPT sees the same resolved customer context graph that Claude does — accounts, contacts, deals, and activity from Jira alongside calls, email, calendar, and Slack.

What Jira data does Clearskies read?

Clearskies reads: Issues, projects, and comments; Status and resolution changes; Customer-mention resolution across issues. It does not write back to Jira; the integration is read-only.

Connect Jira. Get the rest of your stack while you’re at it.