Server data from the Official MCP Registry
AI agent testing: replay real sessions against a rebuilt staging environment to catch regressions.
About
AI agent testing: replay real sessions against a rebuilt staging environment to catch regressions.
Remote endpoints: streamable-http: https://api.runmirrors.com/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-runmirrors-mirrors": {
"url": "https://api.runmirrors.com/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
mirrorkit (Go)
A lightweight, drop-in production trace collector for LLM agents — the Go
sibling of the Python mirrorkit and
TypeScript mirrorkit (npm) packages.
It does exactly one thing: take traces you hand it and send them to your
Mirrors backend — batched in the background, non-blocking, and safe (it never
panics into your app after Init). It does not instrument SDKs and does
not run agents; you build the trace, it ships it.
Install
go get github.com/ai-singhal/mirrorkit-go
Requires Go ≥ 1.21. Zero dependencies (standard library only).
Usage
package main
import (
"time"
mirrorkit "github.com/ai-singhal/mirrorkit-go"
)
func main() {
mirrorkit.Init(mirrorkit.Options{APIKey: "mk_live_...", Project: "my-agent"})
defer mirrorkit.Shutdown(5 * time.Second)
mirrorkit.LogTrace([]mirrorkit.Message{
mirrorkit.SystemMessage("You are a helpful assistant."),
mirrorkit.UserMessage("What's the weather in Paris?"),
mirrorkit.AssistantMessage("It's 18C and sunny."),
}, mirrorkit.WithModel("claude-opus-4-8"))
}
Each trace is enqueued and flushed to {endpoint}/api/collect by a background
goroutine (Authorization: Bearer <apiKey>, body {project, traces}).
Tool calls
Build tool-call and tool-result messages with the helpers:
mirrorkit.LogTrace([]mirrorkit.Message{
mirrorkit.UserMessage("Cancel booking BK-4471."),
mirrorkit.AssistantToolCalls(
mirrorkit.NewToolCall("call_1", "cancel_booking", map[string]any{"id": "BK-4471"}),
),
mirrorkit.ToolResult("call_1", `{"status":"cancelled"}`),
mirrorkit.AssistantMessage("Done — BK-4471 is cancelled."),
})
Options
mirrorkit.Init(mirrorkit.Options{
APIKey: "mk_live_...", // required
Project: "my-agent", // default "default"
Endpoint: "https://api.mirror.dev", // else MIRRORKIT_ENDPOINT / MIRROR_ENDPOINT / prod
FlushInterval: 2 * time.Second, // ms between background flushes
MaxBatch: 50, // max traces per POST
MaxQueue: 10_000, // in-memory cap; oldest dropped past this
Debug: false, // internal debug logs (or MIRRORKIT_DEBUG=1)
})
Endpoint resolution: Options.Endpoint → MIRRORKIT_ENDPOINT → MIRROR_ENDPOINT
→ the production default.
Lifecycle
mirrorkit.Flush(5 * time.Second) // block until the queue drains
mirrorkit.Shutdown(5 * time.Second) // stop the background goroutine (flushes first)
Prefer one collector per process via the package-level Init / LogTrace /
Flush / Shutdown. For multiple independent collectors, use NewClient and
call LogTrace / Flush / Shutdown on the returned *Client.
Testing
cd mirrorkit-go && go vet ./... && go test ./...
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