Connect Helicone MCP for AI Agents

It automatically tracks and reports your spending, allowing you to break down total costs by specific model name (like GPT-4o) or even by custom tags. This lets you see exactly which parts of your application are burning through budget.

Yes, this MCP monitors performance metrics like Time To First Token (TTFT). It pinpoints if slowness comes from a specific LLM provider or if it's related to complex multi-step workflows.

The MCP gives you access to all managed prompt versions. You can view, compare, and select specific historical versions before deploying an update, minimizing risk when improving your bot.

Absolutely. Since it connects via Vinkius, you connect once from any compatible client (like Cursor or Claude) and gain access to all your observability tools in one place.

Yes, beyond just costs, it tracks precise interactions. You can identify which specific users are most active or analyze feedback (Thumbs Up/Down) to guide future model improvements.

Yes. Use the query_requests tool to fetch direct prompts and outputs from the proxy logs. You can filter by status or custom tags to find the exact interaction that needs debugging.

Ask your agent to query_costs and include your customer identity in the filter. Helicone maps costs per model and user, allowing you to see exactly how much each client is burning in LLM tokens.

Absolutely. Use the log_feedback tool to inject offline Human-in-the-Loop verdicts or text critiques directly into Helicone's database, helping you refine your model's grounding over time.