Sentry

what is mcp-sentry-custom? mcp-sentry-custom is a Model Context Protocol (MCP) server designed to retrieve and analyze issues from Sentry.io or self-hosted Sentry instances, providing tools to inspect error reports and debugging information directly from your Sentry account. how to use mcp-sentry-custom? To use mcp-sentry-custom, install it via Smithery, pip, or run it directly with uvx. You need to provide your Sentry authentication token, project slug, organization slug, and Sentry URL as parameters. key features of mcp-sentry-custom? Retrieve and analyze specific Sentry issues by ID or URL. Get a list of issues for a specific project with detailed information. Format issue details for conversational context. use cases of mcp-sentry-custom? Analyzing error reports from applications using Sentry. Debugging issues in real-time by retrieving stack traces. Integrating Sentry issue data into other applications or workflows. FAQ from mcp-sentry-custom? Can mcp-sentry-custom work with self-hosted Sentry instances? Yes! It is designed to work with both Sentry.io and self-hosted Sentry instances. Is there a specific installation method recommended? Using uv is recommended for ease of use, but you can also install via pip or Smithery. What information can I retrieve about Sentry issues? You can retrieve titles, issue IDs, statuses, levels, timestamps, event counts, and full stack traces.

As an MCP (Model Context Protocol) server, Sentry enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use mcp-sentry-custom, install it via Smithery, pip, or run it directly with uvx. You need to provide your Sentry authentication token, project slug, organization slug, and Sentry URL as parameters. key features of mcp-sentry-custom? Retrieve and analyze specific Sentry issues by ID or URL. Get a list of issues for a specific project with detailed information. Format issue details for conversational context. use cases of mcp-sentry-custom? Analyzing error reports from applications using Sentry. Debugging issues in real-time by retrieving stack traces. Integrating Sentry issue data into other applications or workflows. FAQ from mcp-sentry-custom? Can mcp-sentry-custom work with self-hosted Sentry instances? Yes! It is designed to work with both Sentry.io and self-hosted Sentry instances. Is there a specific installation method recommended? Using uv is recommended for ease of use, but you can also install via pip or Smithery. What information can I retrieve about Sentry issues? You can retrieve titles, issue IDs, statuses, levels, timestamps, event counts, and full stack traces.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.