About JIRA MCP Server
An MCP server for self-hosted Jira, enabling AI assistants to work with projects and issues through a standard interface. It supports JQL queries, issue updates, and attachment retrieval.
Key features
- 01List Jira projects
- 02Query issues with JQL
- 03Create and update issues
- 04Manage status, assignee, and comments
- 05Retrieve and download attachments
Use cases
- 01Find issues in a project
- 02Create or edit Jira issues
- 03Review issue status and change assignees
- 04Download attachments for programmatic processing
MCP support
The MCP server exposes tools for working with Jira projects and issues, including querying, editing, and downloading attachments.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEJIRA MCP Server
A Model Context Protocol (MCP) server that addresses integration with self-hosted JIRA, enabling AI assistants to interact with JIRA issues and projects through a standardized interface.
Features
- Get list of JIRA projects
- Query JIRA tasks using JQL
- Get task details
- Create a new task
- Add a comment to a task
- Update task fields (summary, description, assignee, priority, labels, due date, custom fields), optionally together with the status
- Update task status (by status or transition name, or by id)
- Update task assignee
- Get available task statuses
- Get task attachments
- Download task attachments by filename
Installation
- Clone the repository
- Install dependencies:
npm install
- Configure environment variables by copying
.env.exampleto.env:
cp .env.example .env
- Update the
.envfile with your JIRA credentials:
JIRA_HOST=your.jira.host
JIRA_USERNAME=yourname
JIRA_PASSWORD=yourpassword
# Or use access token authentication:
# JIRA_ACCESS_TOKEN=yourtoken
Usage
Start the MCP server:
npm start
The server will start and register itself with any MCP-compatible AI assistants.
Available Tools
downloadTaskAttachment
Download a specific attachment from a JIRA task by filename.
Parameters:
taskId(string, required): JIRA task ID (e.g., PROJECT-123)filename(string, required): Exact filename of the attachment to download
Response: Returns base64 encoded binary data with metadata including:
filename: The name of the downloaded filemimeType: The MIME type of the filesize: The file size in bytescontent: Base64 encoded file content
Example Usage:
{
"taskId": "PROJECT-123",
"filename": "document.pdf"
}
This function is useful for retrieving specific attachments from JIRA tasks when you know the exact filename, allowing you to download and process files programmatically.
Dependencies
- @modelcontextprotocol/sdk
- jira-client
- dotenv
- zod
Author
- Name: Rix Beck
- GitHub: rixbeck
License
This project is licensed under the MIT License.
Copyright (c) 2025 Rix Beck
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.