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Query, filter, and analyze Jira issues in Snowflake using natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Jira MCP Server" yet — see the docs or source repo.
Find high-priority Jira issues created in the last 30 days that are still unresolved. Group them by project and list the issue count and assignees for each project.
A project-level summary of unresolved high-priority issues, including counts, assignees, and key issue details.
Analyze defect count changes across the last 6 sprints, grouped by severity, and identify the teams or projects with the sharpest increase.
A defect trend analysis showing severity distribution, sprint-over-sprint changes, and higher-risk teams or projects.
Identify Jira issues that have been blocked for more than 7 days, explain the blocking reasons, show the owning teams, and summarize the most common bottleneck types.
A list of blocked issues with statistics on blocking reasons, team distribution, and a summary of the main workflow bottlenecks.
Let AI read and update Jira issues, sprints, projects, and metrics.
Let AI work with Jira Cloud to query issues, comment, and find users.
Enable AI assistants to search, create, and manage JIRA issues with JQL.
Give AI read-only Jira Cloud access for projects, sprints, issues, and JQL.
Connect Jira with AI assistants for search, ticket analysis, and workflow automation.
Query JIRA issues, sprints, worklogs, users, and projects in natural language.