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This article explains the Model Context Protocol (MCP) for building pluggable AI agent architectures, detailing lessons from building an MCP server at Sentry, including OAuth 2.1 integration, designing agent-friendly tool interfaces, and current ecosystem limitations.
Sentry and GitHub are hosting a workshop on July 15th to demonstrate an automated error-fixing loop where Sentry catches errors, Seer diagnoses them, and Copilot opens a fix as a PR.
Explores whether analytics agents should incorporate contextual data from tools like Linear, Sentry, and Notion, or remain purely metrics-driven.