Overview
what is Sentry Mcp?
Sentry Mcp is a Model Context Protocol (MCP) server implemented in TypeScript that connects to the Sentry error tracking service, allowing AI models to query and analyze error reports and events.
how to use Sentry Mcp?
To use Sentry Mcp, install the dependencies, configure the required environment variables, and run the server using Node.js. You can also debug it with the MCP Inspector.
key features of Sentry Mcp?
get_sentry_issueTool: Retrieves and analyzes Sentry issues by ID or URL, providing detailed information about the issue.sentry-issuePrompt Template: Formats issue details from Sentry for conversation context.
use cases of Sentry Mcp?
- Analyzing error reports from Sentry for AI model training.
- Integrating Sentry error tracking with AI applications.
- Automating the retrieval of issue details for debugging purposes.
FAQ from Sentry Mcp?
- What is required to run Sentry Mcp?
You need a Sentry authentication token and Node.js installed on your machine.
- Can I customize the configuration?
Yes! You can set environment variables for Sentry organization and project names, as well as the base URL.
- Is Sentry Mcp open source?
Yes! This project is licensed under the MIT License.
Server Config
{
"mcpServers": {
"sentry-mcp": {
"command": "node",
"args": [
"mcp-server/sentry/dist/index.js"
]
}
}
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