> ## Documentation Index
> Fetch the complete documentation index at: https://docs.usestash.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Usage

> Once Stash MCP is installed and configured, you can start using it through your AI client

<Steps>
  <Step title="List your assigned issues">
    > **Command:** *“List my issues with Stash MCP”*

    When you run this command, the agent connects to the Stash MCP Server and retrieves a list of all issues currently assigned to you.
  </Step>

  <Step title="Resolve issues with context">
    > **Command:** *“Solve ST-101 by using the context from Stash MCP”*

    When you select an issue and give this command, the agent queries the Stash MCP Server for the full context:

    * **Documentation** - any wikis or design docs related to the issue
    * **Similar past issues** - including how they were fixed
    * **Code context** - the exact files, functions, and dependencies likely affected

    With this data, the agent can:

    1. Identify the root cause of the problem
    2. Propose or implement a fix
    3. Reference relevant documents or past discussions
    4. Push changes or open a pull request (if supported by the agent)

    This process dramatically reduces the time required to fix issues by removing guesswork and eliminating the need to manually dig for context.
  </Step>
</Steps>