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by alambertt • Analytics & Monitoring
An MCP server that exposes Jira issues as a tool for AI agents and developer tools, allowing issue retrieval via JQL.
Search and fetch Jira issues programmatically using JQL to include issue keys and summaries in automated workflows.
Provide contextual project issue information inside GitHub Copilot, Cursor, Windsurf or other MCP-compatible tools.
A secure, env-var-configured bridge to Jira Cloud (using email + API token) for building AI-assisted triage, reporting, or issue-referencing features.
This TypeScript MCP server connects to a Jira Cloud instance and exposes a get_jira_issues tool over stdio, returning issue keys and summaries based on an optional JQL query. It uses Jira email and API token authentication configured via environment variables and is compatible with MCP clients such as GitHub Copilot, Cursor, and Windsurf. The server can be run with Node.js or Bun and is intended to integrate Jira data into agent-driven developer workflows. Benefits include easy programmatic access to Jira issues, secure credential handling, and seamless tooling integration for AI-assisted development.
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