@codingthefuturewithai
基本信息
MCP (Model Context Protocol) server for JIRA integration
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp_jira": {
"command": "uv",
"args": [
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP JIRA Server is a Model Context Protocol (MCP) server that provides JIRA integration for AI tools. It enables AI assistants to create and manage JIRA issues with rich markdown formatting, automatic conversion to Atlassian Document Format (ADF), and flexible field management through the JIRA REST API v3.
Install the server from source using UV, create a config.yaml with your JIRA instance details and API token, then run mcp_jira-server (stdio transport) or mcp_jira-server --transport sse --port 3001 (SSE transport). The server exposes two tools: create_jira_issue and update_jira_issue.
additional_fields parameterCreate a `config.yaml` file with your JIRA site URL, email, and API token. The server loads this file from a command-line argument, environment variable, or default OS-specific path, and will generate a template if none is found.
Python 3.11 or later (but not 3.13), Linux/macOS/Windows operating system, network access to JIRA instance(s), and a valid JIRA API token.
The server authenticates using a JIRA API token combined with your account email. You create the token in your JIRA Account Settings under Security > API token, then add it to your `config.yaml` file.
The server supports both stdio transport (default) and SSE transport (use `--transport sse --port 3001`). The configuration editor is built with Streamlit and runs via `streamlit run mcp_jira/ui/app.py`.
The server logs to stderr and rotating log files in OS-specific locations (e.g., `~/Library/Logs/mcp_jira/mcp_jira.log` on macOS, `~/.local/state/mcp_jira/mcp_jira.log` on Linux). Logging behavior is configured in `config.yaml` or overridden via the `MCP_JIRA_LOG_LEVEL` environment variable.
Model Context Protocol Servers
The system of record for AI-written software. A persistent graph of entities, relationships, changes, and provenance, so humans and AI agents see what a change touches before it merges. Beside Git today.
Join.cloud lets AI agents work together in real-time rooms. Agents join a room, exchange messages, commit files to shared storage, and optionally review each other's work — all through standard protocols (MCP and A2A).
Learn how to use MCP Servers with GitHub Copilot
Yuque mcp server
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