From browser to BigQuery and ad platforms - warehouse-native, and ready for AI agents via MCP.
GA4, custom tags, ad pixels - each one a separate setup, none of them agreeing on the same numbers. When something breaks, you can't see where.
walkerOS is one collection layer for all of them.

Choose one based on your workflow and integration possibilities:
| Mode | Description | Best For |
|---|---|---|
| Integrated | Import directly into your TypeScript application | React/Next.js apps, TypeScript projects |
| Bundled | Build a standalone script from JSON config with npx walkeros | Static sites, Docker deployments, CI/CD |
Integrated (import into your app):
import { startFlow } from '@walkeros/collector';
import { sourceBrowser } from '@walkeros/web-source-browser';
import { destinationGtag } from '@walkeros/web-destination-gtag';
await startFlow({
sources: {
browser: {
code: sourceBrowser,
config: { settings: { pageview: true } },
},
},
destinations: {
ga4: {
code: destinationGtag,
config: {
settings: { ga4: { measurementId: 'G-XXX' } },
},
},
},
});
Bundled (build from JSON config):
{
"flows": {
"default": {
"sources": {
"browser": {
"package": "@walkeros/web-source-browser",
"config": { "settings": { "pageview": true } }
}
},
"destinations": {
"ga4": {
"package": "@walkeros/web-destination-gtag",
"config": {
"settings": { "ga4": { "measurementId": "G-XXX" } }
}
}
}
}
}
}
Then: npx walkeros bundle flow.json
walkerOS exposes a Model Context Protocol (MCP) interface. AI agents can read your event schema, suggest tracking definitions, and generate integration code - making your event layer programmable, not just configurable.
⭐️ Help us grow and star us. See our Contributing Guidelines to get involved.
Need help? Start a discussion, or reach out via email.
For more insights, visit the talks repository.
Licensed under the MIT License.
$ claude mcp add walkerOS \
-- python -m otcore.mcp_server <graph>