Question 1

What is the Jira Weekly Reporter MCP Server?

Accepted Answer

It's a tool that automates the generation of weekly Jira reports, connecting to your Jira instance to extract issue activity data and optionally summarize it using an LLM.

Question 2

What is an MCP Server?

Accepted Answer

MCP stands for Model Context Protocol. An MCP Server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to LLMs.

Question 3

What Jira versions does this tool support?

Accepted Answer

It supports Jira Cloud, Server, and Data Center versions.

Question 4

What are the prerequisites for using this tool?

Accepted Answer

You need Python 3.10+, `uv` or `pip`, access to a Jira instance, a Jira API token, and the FastMCP CLI installed.

Question 5

How do I install the necessary dependencies?

Accepted Answer

Use `uv pip install fastmcp "jira[cli]" python-dotenv httpx anyio` or `pip install fastmcp "jira[cli]" python-dotenv httpx anyio`.

Question 6

How do I configure the tool to connect to my Jira instance?

Accepted Answer

Create a `.env` file in the same directory as `jira_reporter_server.py` and add your Jira URL, username, and API token.

Question 7

How do I run the server?

Accepted Answer

You can run it directly with Python using `python jira_reporter_server.py` or using the FastMCP CLI with `fastmcp run jira_reporter_server.py`.

Question 8

How can I customize the reports generated by the tool?

Accepted Answer

You can use JQL queries and project key filters to tailor the reports to your specific needs.

Question 9

What is JQL?

Accepted Answer

JQL (Jira Query Language) is a powerful query language used to search for issues in Jira.

Question 10

Can the tool summarize the reports generated?

Accepted Answer

Yes, the tool can optionally summarize the reports using the client's LLM.

Question 11

How do I integrate the tool with the Claude Desktop application?

Accepted Answer

Configure the `claude_desktop_config.json` file to make the server available as a tool within Claude.

Question 12

Where can I find the `claude_desktop_config.json` file?

Accepted Answer

The location depends on your operating system:n    *   macOS: ~/Library/Application Support/Claude/claude_desktop_config.jsonn    *   Windows: %APPDATA%Claudeclaude_desktop_config.jsonn    *   Linux: ~/.config/Claude/Claude/claude_desktop_config.json

Question 13

What is UBOS?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform that helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.

Question 14

How does this tool integrate with UBOS?

Accepted Answer

The tool is an MCP Server, enabling integration with UBOS's AI agent ecosystem. This allows you to build workflows where AI agents automatically trigger report generation and use the summarized data for further tasks.

Question 15

Is the `.env` file safe to commit to version control?

Accepted Answer

No, never commit your `.env` file to version control! Add `.env` to your `.gitignore` file to prevent accidental commits.

Question 16

Where can I generate an API token for Jira Cloud?

Accepted Answer

Generate an API token from your Atlassian account settings: [Manage API tokens](https://support.atlassian.com/atlassian-account/docs/manage-api-tokens-for-your-atlassian-account/).

Question 17

Where can I generate a Personal Access Token (PAT) for Jira Server/Data Center?

Accepted Answer

Generate a Personal Access Token (PAT) from your Jira user profile settings: [Using Personal Access Tokens](https://confluence.atlassian.com/enterprise/using-personal-access-tokens-1026032365.html).

Question 18

What does the `dependencies=["jira"]` line in the code mean?

Accepted Answer

It tells tools like `fastmcp install` that the `jira` library is required for this server to function correctly when creating isolated environments.

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