jira
Community-maintained MCP server for Atlassian Jira Data Center. Not affiliated with Atlassian.
Install jira in your MCP client
jira is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.
- Locate your client's MCP config file.
- Cursor:
~/.cursor/mcp.json - Claude Desktop (macOS):
~/Library/Application Support/Claude/claude_desktop_config.json - Claude Desktop (Windows):
%APPDATA%\Claude\claude_desktop_config.json - VS Code:
Settings → Extensions → MCP - Windsurf:
Settings → MCP Servers
- Cursor:
- Add jira to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing
mcpServersobject. - Restart your client so it picks up the new server.
- Verify — ask the assistant to list available tools; jira's tools should appear.
{
"mcpServers": {
"jira": {
"command": "npx",
"args": [
"-y",
"@atlassian-dc-mcp/jira"
]
}
}
}Install jira in Cursor
Open ~/.cursor/mcp.json in your editor, paste the snippet above into mcpServers, save, and restart Cursor. jira will show up in the assistant's tool list on next launch.
Install jira in Claude Desktop (macOS)
Open ~/Library/Application Support/Claude/claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (macOS). jira will show up in the assistant's tool list on next launch.
Install jira in Claude Desktop (Windows)
Open %APPDATA%\Claude\claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (Windows). jira will show up in the assistant's tool list on next launch.
Install jira in VS Code
Open Settings → Extensions → MCP in your editor, paste the snippet above into mcpServers, save, and restart VS Code. jira will show up in the assistant's tool list on next launch.
npm package: @atlassian-dc-mcp/jira
Transport
jira supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.
From the jira README
More build.protocol_tooling.mcp MCP servers
Other Model Context Protocol servers in the same space as jira. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.
Glashaus — IPFS Pinning
Pin files and websites to IPFS from Claude. x402 USDC payments on Base — no account needed.
agentiam-mcp
Stdio MCP wrapper for AgentIAM's 18 x402 endpoints — agent safety + intelligence on Base.
XRPL-Utilities
XRPL data tools for AI agents: wallet classifier, signals, RWA tracker, ETF flows. Pay via x402.
myrsu-mcp
Concentration risk analysis for tech workers with RSU comp — global (US/IN/CA/UK/EU/AU).
anthropic-admin-mcp
Native MCP server for the Anthropic Admin API: org, workspaces, members, API keys, usage, costs.
chia-explorer
MCP server for the Chia blockchain. Read-only Q&A via the public coinset.org API.
Azure DevOps (ADO)
The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.
Memory Vault
Local-first AI memory layer with hybrid search. Postgres + pgvector. Self-hosted, MIT.
Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.