About Jira JQL Tool for Claude
Jira JQL Tool for Claude is an MCP server that lets Claude query Jira with JQL. It is configured as a local server for Claude Desktop.
Key features
- 01Query Jira with JQL
Use cases
- 01Query Jira issues from Claude
MCP support
It exposes Jira JQL querying to Claude through MCP. The README shows local stdio configuration for Claude Desktop.
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 JQL Tool for Claude
A tool that enables Claude to interact with Jira through JQL queries using the Model Control Protocol (MCP).
Setup Instructions
1. Project Setup
Create and set up your project environment:
# Create project directory
git clone [email protected]:amiralamox/mcp-servers.git && cd jira_tool
# Create Python virtual environment (Python 3.12)
python3.12 -m venv .venv
# Activate virtual environment
source .venv/bin/activate
# Install required packages
pip install -r requirements.txt
# Test server (optional)
python server.py # Run briefly to verify it works, then stop
2. Claude Desktop Configuration
Configure Claude Desktop to connect to your JQL tool:
- Open Claude desktop configuration file:
vim ~/Library/Application\ Support/Claude/claude_desktop_config.json
- Add the following configuration (replace
[path_to_project]with your actual project path):
{
"mcpServers": {
"jira-jql-tool": {
"command": "[path_to_project]/.venv/bin/python",
"args": [
"[path_to_project]/server.py"
]
}
}
}
- Save the file and restart Claude Desktop
Usage
[Add usage instructions here]
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
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.