What environment variables are required?
JIRA_SERVER (your Atlassian instance URL), JIRA_USERNAME (your email), JIRA_API_KEY, and JIRA_PROJECT_KEY. Create a `.env` file with these values.
@maximepeabody
Basic information
A really simple MCP server for Jira, which uses docker for easy deployment.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A Model Context Protocol (MCP) server that allows AI assistants to interact with Jira. It enables AI to fetch user's assigned tickets, add comments, get available status transitions, and update ticket status. Designed for developers who want to give AI agents Jira integration capabilities.
Set up a .env file with JIRA_SERVER, JIRA_USERNAME, JIRA_API_KEY, and JIRA_PROJECT_KEY. Then run either the Docker script (./run_docker_locally.sh) or install Python dependencies and start with uvicorn src.server:app --reload. The server runs on http://localhost:8000 and the MCP endpoint is at /mcp.
JIRA_SERVER (your Atlassian instance URL), JIRA_USERNAME (your email), JIRA_API_KEY, and JIRA_PROJECT_KEY. Create a `.env` file with these values.
Go to https://id.atlassian.com/manage-profile/security/api-tokens and generate a token. Use that as JIRA_API_KEY in your `.env` file.
The server requires Docker (for the Docker option) or Python with the dependencies listed in `requirements.txt`. You also need a Jira account with API access.
Yes, it can get available status transitions and update ticket status accordingly.
It starts on `http://localhost:8000`. The MCP endpoint is at `http://localhost:8000/mcp`.
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