jam
Overview
The jam MCP server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with Jam, a developer-focused bug reporting and debugging platform. It allows AI-driven workflows to capture, inspect, and reason about bug reports — including contextual metadata like logs, network activity, console output, and environment details — without switching tools.
This server is especially useful for debugging, QA workflows, developer support, and incident triage where rich client-side context is critical.
Transport
streamable-http
Tools
Key Capabilities
- Rich bug context access — Work with detailed client-side debugging data captured by Jam.
- Faster issue triage — Enable AI assistants to summarize, analyze, and prioritize reported bugs.
- Reproduction insight — Reason about environment details, steps, and runtime signals tied to a report.
- Developer productivity — Reduce back-and-forth by surfacing actionable insights directly from bug reports.
- QA and support workflows — Integrate bug analysis into conversational and automated processes.
How It Works
The jam MCP server runs as an MCP service that connects to Jam using secure, scoped credentials. AI clients communicate with the server over the MCP protocol to retrieve bug reports and associated diagnostic context as part of broader reasoning workflows.
The server mediates access to Jam’s APIs, handling authentication and data normalization before returning structured results that AI assistants can reason over directly. This allows models to analyze errors, identify patterns, and generate summaries or recommendations without needing to understand Jam’s underlying data model.
By exposing Jam through MCP, the server enables workflows such as “summarize this bug report,” “identify likely causes,” or “group similar issues” — all inside an AI-driven environment that connects debugging insight with development context.