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jam

Jam

    Server Summary

    • Access bug reports

    • Search project issues

    • Retrieve issue metadata

    • Query workspace data

Jam MCP Server

A Model Context Protocol (MCP) server that provides seamless integration with Jam, enabling AI assistants to interact with your Jam workspace, bug reports, and project data directly through natural conversation.

Overview

The Jam MCP Server bridges the gap between AI assistants and Jam's bug tracking platform. By connecting through MCP, your AI assistant gains the ability to access, query, and work with your Jam data in real-time, making bug management and project coordination more intuitive and efficient.

What is Jam?

Jam is a modern bug reporting tool that captures comprehensive context about issues, including screenshots, console logs, network activity, and user session data. This MCP server allows AI assistants to leverage all of this rich information.

Key Features

Access Bug Reports

  • Retrieve detailed bug reports from your Jam workspace
  • View bug metadata including status, priority, and assignees
  • Access attached screenshots, recordings, and technical logs
  • Search and filter bugs based on various criteria

Project Management

  • Query project information and organization
  • View team member assignments and responsibilities
  • Access workspace settings and configurations

Data Retrieval

  • Fetch specific bugs by ID or search parameters
  • List recent bugs and their current status
  • Access historical bug data and resolution timelines

Use Cases

Automated Triage: Ask your AI assistant to summarize recent high-priority bugs or identify patterns in reported issues.

Status Updates: Quickly get updates on specific bugs or projects without leaving your conversation flow.

Context Gathering: Have your assistant pull relevant bug details when discussing features or fixes, ensuring everyone has the full picture.

Reporting: Generate summaries of bug trends, team workload, or project health based on current Jam data.

Getting Started

Once configured, simply ask your AI assistant natural questions about your Jam workspace. The server handles the communication with Jam's API transparently, returning information in an easy-to-understand format.