mcp-jira
Provides tools for searching Jira issues using JQL, retrieving full issue details, and listing projects.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-jirasearch for high priority issues assigned to me"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-jira
Jira MCP Pack
Part of Pipeworx — an MCP gateway connecting AI agents to 1683+ live data sources.
Tools
Tool | Description |
| Search Jira issues using JQL queries. Returns issue keys, summaries, status, assignee, and priority. Use to find tasks by project, status, assignee, or custom criteria. |
| Get full details for a Jira issue by key (e.g., 'PROJ-123'). Returns description, status, assignee, priority, comments, attachments, and linked issues. |
| List all accessible Jira projects. Returns project keys, names, descriptions, and types. Use before searching to discover available projects. |
| Get details for a specific Jira project by key (e.g., 'PROJ') or ID. Returns name, description, lead, issue types, and custom fields. |
Related MCP server: JIRA MCP Server
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"jira": {
"url": "https://gateway.pipeworx.io/jira/mcp"
}
}
}What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/jira/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}Both URLs reach the same gateway and the same 1683+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
This pack runs against a connected jira account, so it needs a Pipeworx key: sign in at https://pipeworx.io/account, connect jira, then call POST https://gateway.pipeworx.io/v1/tools/jira_search with Authorization: Bearer <your Pipeworx key>. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/jira_search. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"jira": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-jira"]
}
}
}Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-jiraIt speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Jira data" })The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
This server cannot be deployed
Related MCP Connectors
Connect to Atlassian Jira, Confluence, Loom, and more to search, create, and manage your work.
Read and write Mission Control state via MCP — projects, tasks, subtasks, templates, status updates.
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Manage Superlist tasks and lists in plain language from any MCP-compatible AI agent.
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