A very basic example of an MPC server that uses the Jira API to search for work items.
I recommend using conda to create a virtual environment.
- Clone the repository and set up the desired Python environment.
- Install the requirements from
requirements.txt
.
Copy the .env.example
file to .env
and fill in the required values.
Add the following to your LM Studio MCP configuration:
{
"mcpServers": {
...
"jira_test": {
"command": "<path to Python interpreter>",
"args": [
"<path to mcp_jira.py>"
]
}
}
}
Example with conda:
{
"mcpServers": {
...
"jira_test": {
"command": "/Users/<username>/miniconda3/envs/<env name>/bin/python",
"args": [
"/Users/<username>/Developer/test-mcp-jira/mcp_jira.py"
]
}
}
}
Test the connection to the Jira server.
Prompt: Use the tool jira_whoami.
Search for work items. It will return the first 50 results.
Prompt: Use the tool jira_search to find open work items.