AI agents & MCP
From bug report to merged fix, with agents as first-class users.
- ExplainerHow AI agents work with BugMojoUnderstand the full loop, from a captured bug to an agent-proposed fix that a human verifies and closes.
- How-toSet up the MCP server in Claude CodeConnect Claude Code to BugMojo over MCP so it can read a bug's replay context, logs, and repro steps and start fixing.
- How-toSet up the BugMojo MCP server in CursorConnect Cursor to BugMojo over MCP so its AI can read a bug's replay, logs, and repro steps.
- ReferenceMCP tool referenceKnow exactly which tools a connected AI agent can call over MCP to read a BugMojo bug and act on it.
- ExplainerThe agent inbox and task leasesA shared, risk-ranked queue any agent can read, and an exclusive lease so two sessions never work the same task.
- ExplainerAgent access, tokens, and the security modelUnderstand how an AI agent's access is scoped, what it inherits from you, and the guardrails that keep it in bounds.