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helicone

by Helicone6.1kTypeScriptUpdated 2026-08-26

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

Claude Desktop

The Helicone MCP server provides AI agents with programmatic access to LLM observability data and analytics from the Helicone platform. It enables agents to query logged requests, cost metrics, latency statistics, and trace information directly from within conversational workflows. Developers can use this server to give their AI assistants the ability to analyze LLM usage patterns, troubleshoot performance issues, and generate reports on AI application behavior without leaving their development environment.

Key Features

Query LLM request logs and session traces programmatically through MCP
Access cost and latency analytics data for monitored AI applications
Retrieve agent tracing information for debugging multi-step workflows
Export datasets and fine-tuning data via agent commands
Integration with Helicone's observability platform covering 100+ AI models
Support for analyzing metrics across OpenAI, Anthropic, Gemini, and other providers
Access to the largest open-source LLM pricing database with 300+ models

Use Cases

  • 01Query recent LLM request failures and debug issues conversationally with Claude
  • 02Generate cost reports and usage analytics for AI applications within your editor
  • 03Analyze agent execution traces to optimize multi-step AI workflows
  • 04Export training datasets for fine-tuning based on production request logs
  • 05Monitor latency trends and performance metrics across different LLM providers
  • 06Retrieve session data for chatbot or document processing pipeline analysis

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helicone — FAQ

What is the Helicone MCP server?+

The Helicone MCP server is a Model Context Protocol integration that connects AI assistants to the Helicone LLM observability platform, enabling agents to query request logs, analytics, cost data, and traces from your monitored AI applications.

How do I install the Helicone MCP server?+

Add the server configuration to your Claude Desktop or compatible MCP client config file, providing your Helicone API key as an environment variable. The exact installation steps are detailed in the Helicone documentation for MCP integration.

Do I need a Helicone API key?+

Yes, you need a Helicone API key to authenticate the MCP server. You can obtain one by signing up at helicone.ai, and the platform offers a generous free tier with 10,000 requests per month.

Which AI clients support the Helicone MCP server?+

The Helicone MCP server works with any MCP-compatible client, including Claude Desktop and other applications that implement the Model Context Protocol standard.

Is the Helicone MCP server free to use?+

The MCP server itself is open source under the Apache v2.0 license. Helicone offers a free tier with 10,000 requests per month, and you can self-host the entire platform using Docker or Helm for unlimited usage.

Can I self-host Helicone with the MCP server?+

Yes, Helicone supports self-hosting via Docker Compose or Helm for enterprise workloads. When self-hosted, you can point the MCP server to your own instance instead of the cloud service.

How do I install helicone?+

Open the source repository on GitHub and follow its README. helicone is a mcp server — MCP Agents Market links you directly to the official repo.

Is helicone free?+

helicone is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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