Helicone (LLM Observability) MCP Server
Monitor LLM usage via Helicone — track requests, analyze costs, measure latency, and manage prompts.
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What is the Helicone MCP Server?
The Helicone MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Helicone via 10 tools. Monitor LLM usage via Helicone — track requests, analyze costs, measure latency, and manage prompts. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Helicone
Ask your AI agent "How much did we spend on GPT-4o yesterday?" and get the answer without opening a single dashboard. With 10 tools connected to real Helicone data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Helicone (LLM Observability) MCP Server capabilities
10 toolsIrreversibly vaporize explicit validations extracting rich Churn flags
Identify precise active arrays spanning native Gateway auth
Identify precise active arrays spanning native Hold parsing
Perform structural extraction of properties driving active Account logic
Inspect deep internal arrays mitigating specific Plan Math
Provision a highly-available JSON Payload generating hard Customer bindings
Retrieve explicit Cloud logging tracing explicit Vault limits
Identify bounded CRM records inside the Headless Helicone Platform
Enumerate explicitly attached structured rules exporting active Billing
Dispatch an automated validation check routing explicit Gateway history
What the Helicone (LLM Observability) MCP Server unlocks
Connect your Helicone account to any AI agent and take full control of your LLM observability and gateway monitoring through natural conversation.
What you can do
- Request Monitoring — Query deep proxy logs to inspect exact prompts and outputs sent to LLM APIs directly from your agent
- Cost Analysis — Break down spending by model, user, or custom metadata properties to monitor your AI burn rate in real-time
- Latency Optimization — Measure Time To First Token (TTFT) and pinpoint slowness caused by specific upstream LLM providers
- Prompt Management — Access managed prompt versions and track iterative changes in your AI instruction logic natively
- Session Tracing — Isolate and analyze multi-turn graph traces connecting consecutive LLM calls to debug complex agentic workflows
- User Insights — Track precise LLM interactions based on Helicone tags and identify your most active human clients
- Feedback & RLHF — Extract user critiques (Thumbs Up/Down) and log offline Human-in-the-Loop verdicts to improve model grounding
How it works
1. Subscribe to this server
2. Enter your Helicone API Key
3. Start monitoring your LLM infrastructure from Claude, Cursor, or any MCP-compatible client
Who is this for?
- LLM Engineers — debug prompt performance and measure TTFT latency across multiple upstream providers
- Product Owners — monitor AI spending and calculate costs per user, feature, or organization
- Data Scientists — analyze user feedback and improve model response quality through logged critiques
- DevOps/SREs — ensure the availability and reliability of your AI gateway and proxy layers
Frequently asked questions about the Helicone (LLM Observability) MCP Server
Can I see the exact prompt that caused a specific error?
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.
How do I track costs for a specific customer ID?
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.
Can my agent log human feedback into Helicone?
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.
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Connect Helicone (LLM Observability) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Helicone MCP Server
Production-grade Helicone (LLM Observability) MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.