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mcp-sentry: A Sentry MCP server

A Model Context Protocol server for retrieving and analyzing issues from Sentry.io

#python#sentry
Created by MCP-1002025/03/28
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What is mcp-sentry: A Sentry MCP server?

What is mcp-sentry? mcp-sentry is a Model Context Protocol server designed for retrieving and analyzing issues from Sentry.io, providing tools to inspect error reports, stack traces, and other debugging information from your Sentry account. How to use mcp-sentry? To use mcp-sentry, you can install it via Smithery, pip, or run it directly using uv. After installation, you can run it as a script or configure it with your Sentry token and project details. Key features of mcp-sentry? Retrieve and analyze Sentry issues by ID or URL. List issues by project slug and organization slug. Debugging tools available through the MCP inspector. Use cases of mcp-sentry? Analyzing specific error reports from Sentry. Monitoring and managing issues across multiple projects in Sentry. Debugging applications by inspecting stack traces and error details. FAQ from mcp-sentry? Can mcp-sentry analyze all types of issues from Sentry? Yes! mcp-sentry can retrieve and analyze any issues available in your Sentry account. Is mcp-sentry free to use? Yes! mcp-sentry is open-source and free to use under the MIT License. How do I install mcp-sentry? You can install mcp-sentry using pip, Smithery, or run it directly with uv.

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

How to use mcp-sentry: A Sentry MCP server

To use mcp-sentry, you can install it via Smithery, pip, or run it directly using uv. After installation, you can run it as a script or configure it with your Sentry token and project details. Key features of mcp-sentry? Retrieve and analyze Sentry issues by ID or URL. List issues by project slug and organization slug. Debugging tools available through the MCP inspector. Use cases of mcp-sentry? Analyzing specific error reports from Sentry. Monitoring and managing issues across multiple projects in Sentry. Debugging applications by inspecting stack traces and error details. FAQ from mcp-sentry? Can mcp-sentry analyze all types of issues from Sentry? Yes! mcp-sentry can retrieve and analyze any issues available in your Sentry account. Is mcp-sentry free to use? Yes! mcp-sentry is open-source and free to use under the MIT License. How do I install mcp-sentry? You can install mcp-sentry using pip, Smithery, or run it directly with uv.

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

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like mcp-sentry: A Sentry MCP server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like mcp-sentry: A Sentry MCP server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.