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@talivia/agent
Advanced tools
Revenue-first web analytics installed and verified by AI agents through MCP

Revenue-first website analytics that your AI agent can install, connect, and verify for you.
Talivia shows founders which referrers, campaigns, pages, search keywords, and customer journeys turn visits into revenue. @talivia/agent connects Codex, Claude Code, ChatGPT, OpenClaw, Hermes, and other MCP clients to Talivia so an agent can finish the analytics setup inside your project - not just paste a tracking snippet and hope it works.
Ask your agent to set up Talivia. It can find or create the right website, generate a framework-specific installation plan, add the tracker with its native coding tools, verify that real events are arriving, open a secure payment-provider handoff, and check that revenue attribution is ready.
Start free | Agent Kit | Documentation | npm | GitHub
Most analytics products count visits. Payment dashboards count transactions. Talivia connects the two, so you can answer the questions that matter to a growing product:
Talivia puts traffic, visitor journeys, events, payment revenue, and attribution in one workspace. Connect a supported payment provider or use the Manual Payment API for a custom checkout.
Give this to a coding agent after connecting Talivia:
Set up Talivia revenue analytics for this project.
1. Connect to my Talivia account and find the correct website.
2. If it does not exist, ask before creating it.
3. Install the Talivia tracker using the right plan for this framework.
4. Build and test the project.
5. Verify that Talivia is receiving real events.
6. Help me connect revenue attribution through Talivia's secure browser flow.
7. Tell me what is working and what still needs attention.
The agent works in your repository. Talivia supplies the exact tracking configuration, secure account workflows, and live verification. Setup is not considered complete merely because code was generated - it is complete when Talivia receives real data.
Use it for a SaaS launch, indie product, marketing site, developer tool, or any web product where knowing which traffic creates revenue matters more than collecting another pageview count.
Use the hosted website analytics MCP server when your client supports HTTP MCP and OAuth:
https://talivia.com/mcp
Codex:
codex mcp add talivia --url https://talivia.com/mcp
codex mcp login talivia
Claude Code:
claude mcp add --transport http talivia https://talivia.com/mcp
Talivia opens in your browser for sign-in and permission approval. After that, ask the agent to install or verify Talivia in your project.
Use the package when an agent expects a local stdio MCP server:
npx -y @talivia/agent setup --agent codex
npx -y @talivia/agent checkin --agent codex
codex mcp add talivia -- npx -y @talivia/agent mcp
Check the connection at any time:
npx -y @talivia/agent status
The package also includes a Codex plugin manifest and SKILL.md, so compatible agents can discover both the Talivia MCP server and the safe setup workflow.
| Area | Outcome |
|---|---|
| Account | Check the connected Talivia account and available capabilities |
| Websites | List existing websites or create one after user approval |
| Tracking | Get the exact tracker and a framework-specific installation plan |
| Verification | Confirm that real analytics events are reaching Talivia |
| Revenue | Start a secure payment connection and check attribution readiness |
| Checkout | Get provider-specific guidance for preserving visitor and session attribution |
Talivia keeps the product logic on the hosted MCP server, so agents receive the current setup rules without bundling a second analytics implementation into your codebase.
Prefer to self-host? Talivia also has an open-source version for running revenue analytics on your own infrastructure. Talivia Cloud provides the managed service and agent connection described here.
Create a Talivia account, connect an agent, and follow the next visit all the way to the payment.
FAQs
Revenue-first web analytics installed and verified by AI agents through MCP
We found that @talivia/agent demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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