Skip to main content
Glama

Sentry MCP

Official
by getsentry
search-docs.eval.ts1.26 kB
import { describeEval } from "vitest-evals"; import { NoOpTaskRunner, ToolPredictionScorer } from "./utils"; describeEval("search-docs", { data: async () => { return [ { input: "I need documentation on how to set up error tracking with Sentry in JavaScript", expectedTools: [ { name: "search_docs", arguments: { query: "set up error tracking JavaScript", maxResults: 3, }, }, ], }, { input: "I need help configuring Sentry with React components and error boundaries", expectedTools: [ { name: "search_docs", arguments: { query: "React components error boundaries", maxResults: 3, }, }, ], }, { input: "What is Sentry's rate limiting and how does it work?", expectedTools: [ { name: "search_docs", arguments: { query: "rate limiting", maxResults: 3, }, }, ], }, ]; }, task: NoOpTaskRunner(), scorers: [ToolPredictionScorer()], threshold: 0.6, timeout: 30000, });

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/getsentry/sentry-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server