Best Claude Code MCP Servers for Jira

Manage Jira issues, projects, sprints, and workflows for agile project management

Unified access to Atlassian products including Confluence, Jira, and Bitbucket

Atlassian Jira Cloud integration. Enables AI systems to interact with Jira projects, issues, comments, and related development information in real time.

A CLI for interacting with GitKraken APIs. Includes an MCP server via `gk mcp` that not only wraps GitKraken APIs, but also Jira, GitHub, GitLab, and more. Works with local tools and remote services.

Unified MCP server for GitLab and Jira: manage projects, merge requests, files, releases and tickets with AI agents.

lets your preferred AI agent create & run fully managed [Octomind](https://www.octomind.dev/) end-to-end tests from your codebase or other data sources like Jira, Slack or TestRail.

MCP server that integrates Jira and GitHub to automate end-to-end developer workflows, from issue tracking to branches, commits, pull requests, and merges inside the IDE.

Local-first developer activity aggregator. Indexes commits, PRs, Jira/Linear tickets, Confluence docs, Slack threads, and Calendar events into SQLite + FTS5 + on-device ONNX embeddings; exposes 15 tools, 3 resources, and 3 prompts so Claude Code, Cursor, and Codex can search and…

Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.

A Go-based MCP connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira. This tool provides a seamless interface for AI models to perform common Jira operations including issue management, sprint planning, and workflow transitions.

MCP server for Atlassian products (Confluence and Jira). Supports Confluence Cloud, Jira Cloud, and Jira Server/Data Center. Provides comprehensive tools for searching, reading, creating, and managing content across Atlassian workspaces.

Comprehensive TypeScript MCP server for Jira with 20+ tools covering complete project management workflow: issue CRUD, sprint management, comments/history, attachments, batch operations.

Read jira data via JQL and api and execute requests to create and edit tickets.

Some useful tools for developer, almost everything an engineer need: confluence, Jira, Youtube, run script, knowledge base RAG, fetch URL, Manage youtube channel, emails, calendar, gitlab