Perfscale MCP
Enables local load testing with k6/locust/native tools and cloud-based test management through the perfscale platform.
README
perfscale MCP servers
Model Context Protocol servers for perfscale:
| Package | Server | Use case |
|---|---|---|
@perfscale/mcp |
perfscale-mcp |
Local: run k6/locust/native load tests, lint and manage test/config YAML via the OSS perfscale CLI |
@perfscale/controlplane-mcp |
perfscale-controlplane-mcp |
Cloud: machines, tests, runs, metrics, and audit data from perfscale.su / perfscale.ru |
Quick start
OSS (local)
Requires the perfscale CLI on PATH (or PERFSCALE_BIN).
{
"mcpServers": {
"perfscale": {
"command": "npx",
"args": ["-y", "@perfscale/mcp"]
}
}
}
Tools: run_test, lint, get_schema, parse_summary, list_actions,
list_configs, read_config, write_test, write_config, update_config,
remove_config.
Controlplane (cloud)
Create an API token in the dashboard (Settings → API Tokens; Scale plan: 1 per user, Enterprise: 5 per user), then:
{
"mcpServers": {
"perfscale-cloud": {
"command": "npx",
"args": ["-y", "@perfscale/controlplane-mcp"],
"env": {
"PERFSCALE_API_URL": "https://perfscale.su",
"PERFSCALE_API_TOKEN": "psk_..."
}
}
}
}
Tools: whoami, tenant_limits, list_machines, get_machine, list_tests,
get_test, list_runs, get_run, get_run_logs, runs_by_machine,
run_test, metrics_catalog, query_metrics, get_otel_timeseries,
list_dashboards, list_git_repos, sync_git_repo, list_env_vars
(values masked), audit_log.
Development
pnpm install
pnpm test # vitest across all packages
pnpm build # tsc -b per package
Releasing
Bump the version in the package's package.json, then tag and push:
git tag v0.2.0 && git push origin v0.2.0
CI publishes to npm (release.yml); packages whose version is already on
the registry are skipped, so packages version independently. Requires the
NPM_TOKEN repo secret.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.