Jira & Confluence MCP Server

Jira & Confluence MCP Server

Enables AI assistants to interact with Jira and Confluence via natural language, supporting 37 Jira tools and 16 Confluence tools.

Category
Visit Server

README

Jira & Confluence MCP Server

PyPI version Python License: MIT

An MCP (Model Context Protocol) server that lets AI assistants interact with Jira and Confluence via natural language. Works with Claude, GitHub Copilot, and any MCP-compatible client.


Quick Start (Recommended)

Install via uvx (no clone needed)

# 1. Get your Atlassian API token at:
#    https://id.atlassian.com/manage-profile/security/api-tokens

# 2. Add to your MCP client config:
{
  "mcpServers": {
    "atlassian-mcp": {
      "type": "local",
      "command": "uvx",
      "args": ["atlassian-mcp"],
      "env": {
        "ATLASSIAN_URL": "https://your-domain.atlassian.net",
        "ATLASSIAN_EMAIL": "your-email@example.com",
        "ATLASSIAN_API_TOKEN": "your-api-token"
      }
    }
  }
}

That's it — uvx automatically downloads and runs the package in an isolated environment.

uvx not installed? Run: pip install uv or see uv installation docs.


MCP Client Config Locations

Client Config file
GitHub Copilot CLI ~/.copilot/mcp-config.json
Claude Desktop (macOS) ~/Library/Application Support/Claude/claude_desktop_config.json
Claude Desktop (Windows) %APPDATA%\Claude\claude_desktop_config.json
Claude Desktop (Linux) ~/.config/claude/claude_desktop_config.json

Features

Jira Tools (37 tools)

Category Tools
Projects jira_list_projects, jira_get_project
Issues jira_get_issue, jira_search_issues, jira_create_issue, jira_update_issue, jira_delete_issue
Workflow jira_get_transitions, jira_transition_issue
Comments jira_get_comments, jira_add_comment, jira_update_comment, jira_delete_comment
Assignment jira_assign_issue
Users jira_search_users, jira_get_current_user
Boards jira_list_boards, jira_get_board, jira_get_board_issues, jira_get_board_backlog
Sprints jira_list_sprints, jira_get_sprint, jira_create_sprint, jira_update_sprint, jira_get_sprint_issues, jira_move_issues_to_sprint, jira_move_issues_to_backlog
Metadata jira_get_issue_types, jira_get_priorities, jira_get_fields, jira_get_labels
Worklogs jira_add_worklog, jira_get_worklogs
Watchers jira_get_watchers, jira_add_watcher
Links jira_get_link_types, jira_link_issues

Confluence Tools (16 tools)

Category Tools
Spaces confluence_list_spaces, confluence_get_space, confluence_get_space_by_key
Pages confluence_get_page, confluence_list_pages_in_space, confluence_get_child_pages, confluence_create_page, confluence_update_page, confluence_delete_page
Labels confluence_get_page_labels, confluence_add_page_labels, confluence_delete_page_label
Search confluence_search
Hierarchy confluence_get_page_ancestors
Comments confluence_get_page_comments, confluence_add_page_comment

Alternative: Run from Source

git clone https://github.com/halim-23/jira-mcp-server.git
cd jira-mcp-server
pip install -r requirements.txt
cp .env.example .env
# Edit .env with your credentials
python3 main.py

Then point your MCP client to:

{
  "mcpServers": {
    "atlassian-mcp": {
      "type": "local",
      "command": "python3",
      "args": ["atlassian-mcp"],
    }
  }
}

Environment Variables

Variable Description
ATLASSIAN_URL Your Atlassian base URL, e.g. https://yourco.atlassian.net
ATLASSIAN_EMAIL Your Atlassian account email
ATLASSIAN_API_TOKEN API token from id.atlassian.com

All three variables are required. They can be set in a .env file (for local dev) or passed via the env block in your MCP client config (recommended for uvx usage).


Example Usage

Once configured, ask your AI assistant:

  • "Show me all open issues in project MYPROJ"
  • "Create a bug ticket: Login page throws 500 error on Safari"
  • "Move PROJ-42 to In Progress and assign it to me"
  • "Log 2 hours on PROJ-42 with comment 'code review'"
  • "Show the active sprint on board 123"
  • "Search Confluence for pages about deployment"
  • "Create a Confluence page in space ENG titled 'API Design Guidelines'"

Technical Notes

This server targets Jira Cloud and Confluence Cloud REST APIs:

  • Jira: REST API v3 (/rest/api/3/) + Agile API (/rest/agile/1.0/)
  • Confluence: REST API v2 (/wiki/api/v2/) with v1 fallback for CQL search
  • Search uses POST /rest/api/3/search/jql (the current Jira Cloud search endpoint)
  • All API calls are async via httpx

Contributing

See CONTRIBUTING.md for guidelines on reporting bugs, requesting features, and submitting pull requests.

License

MIT — see LICENSE.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured