Jira Team Velocity Forecaster
Code agentMonte Carlo sprint velocity forecasting with P50/P80/P95 delivery dates
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Monte Carlo sprint velocity forecasting with P50/P80/P95 delivery dates
Software DevelopmentSprint health, backlog hygiene, and an exec brief — from one Jira read, without managing anyone.
Software DevelopmentReads the Figma file and writes the brief — including the states nobody designed.
Software DevelopmentA front door for legal requests — categorised, complete, and never advised on.
LegalPositioning, messaging, FAQ, and a dated checklist — all from what actually shipped.
Software DevelopmentBlank page to a complete PRD, or an existing PRD to a list of what it's missing.
Software DevelopmentA job description that describes the job, and an interview kit that tests what it asks for.
Human ResourcesDecides where every ticket goes — the right group, an engineering issue, or a product theme.
Customer ServicePuts the pricing clause and the actual arithmetic in front of whoever is about to approve.
LegalTurns a pull request diff into a real description, a semver call, and a release note.
Software DevelopmentScores inbound leads against your ICP, shows the arithmetic, and never disqualifies anyone.
Customer ServiceTwo minutes of prep from what actually happened — and never a productivity score.
Human ResourcesAnswers internal policy questions in Slack, always with the page, the link, and the date.
LegalCreates Jira issues that pass review the first time — deduped, fields filled, acceptance criteria testable.
Software DevelopmentAnswers HR policy questions in Slack with the page, the link, and the right form.
Human ResourcesTurns a start date into a real 30-60-90: a plan page, dated tasks with owners, and one announcement.
Human ResourcesMonte Carlo sprint velocity forecasting with P50/P80/P95 delivery dates
Sprint health, backlog hygiene, and an exec brief — from one Jira read, without managing anyone.
Reads the Figma file and writes the brief — including the states nobody designed.
A front door for legal requests — categorised, complete, and never advised on.
Positioning, messaging, FAQ, and a dated checklist — all from what actually shipped.
Blank page to a complete PRD, or an existing PRD to a list of what it's missing.
A job description that describes the job, and an interview kit that tests what it asks for.
Decides where every ticket goes — the right group, an engineering issue, or a product theme.
Puts the pricing clause and the actual arithmetic in front of whoever is about to approve.
Turns a pull request diff into a real description, a semver call, and a release note.
Scores inbound leads against your ICP, shows the arithmetic, and never disqualifies anyone.
Two minutes of prep from what actually happened — and never a productivity score.
Answers internal policy questions in Slack, always with the page, the link, and the date.
Creates Jira issues that pass review the first time — deduped, fields filled, acceptance criteria testable.
Answers HR policy questions in Slack with the page, the link, and the right form.
Turns a start date into a real 30-60-90: a plan page, dated tasks with owners, and one announcement.
A Jira MCP server exposes Jira to an AI client over the Model Context Protocol, so Claude, ChatGPT, Gemini, or Cursor can read and act on your Jira data through a standard connection. On FindAgent you connect one over a hosted URL or run it locally — no custom code.
Open a Jira agent or MCP server on FindAgent and connect it to your AI client — a hosted agent connects over a single remote URL you sign in to; a local one runs on your machine. The same connection works across Claude, ChatGPT, Gemini, and Cursor.