Helicone (LLM Observability) MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Helicone (LLM Observability) through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Helicone (LLM Observability) and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"helicone-llm-observability": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Helicone (LLM Observability) MCP Server
Connect your Helicone account to any AI agent and take full control of your LLM observability and gateway monitoring through natural conversation.
Windsurf's Cascade agent chains multiple Helicone (LLM Observability) tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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
The Helicone (LLM Observability) MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Helicone (LLM Observability) to Windsurf via MCP
Follow these steps to integrate the Helicone (LLM Observability) MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Helicone (LLM Observability)
Open Cascade and ask: "Using Helicone (LLM Observability), help me...". 10 tools available
Why Use Windsurf with the Helicone (LLM Observability) MCP Server
Windsurf provides unique advantages when paired with Helicone (LLM Observability) through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Helicone (LLM Observability) + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Helicone (LLM Observability) MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Helicone (LLM Observability) and generate models, types, or handlers based on real API responses
Live debugging: query Helicone (LLM Observability) tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Helicone (LLM Observability) and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Helicone (LLM Observability) data with Cascade's code generation to scaffold entire features in minutes
Helicone (LLM Observability) MCP Tools for Windsurf (10)
These 10 tools become available when you connect Helicone (LLM Observability) to Windsurf via MCP:
get_prompt_versions
Irreversibly vaporize explicit validations extracting rich Churn flags
list_properties
Identify precise active arrays spanning native Gateway auth
log_feedback
Identify precise active arrays spanning native Hold parsing
query_costs
Perform structural extraction of properties driving active Account logic
query_feedback
Inspect deep internal arrays mitigating specific Plan Math
query_latency
Provision a highly-available JSON Payload generating hard Customer bindings
query_prompts
Retrieve explicit Cloud logging tracing explicit Vault limits
query_requests
Identify bounded CRM records inside the Headless Helicone Platform
query_sessions
Enumerate explicitly attached structured rules exporting active Billing
query_users
Dispatch an automated validation check routing explicit Gateway history
Example Prompts for Helicone (LLM Observability) in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Helicone (LLM Observability) immediately.
"How much did we spend on GPT-4o yesterday?"
"Show me the 10 slowest requests from the last hour"
"List all versions for the 'customer-service-bot' prompt"
Troubleshooting Helicone (LLM Observability) MCP Server with Windsurf
Common issues when connecting Helicone (LLM Observability) to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Helicone (LLM Observability) + Windsurf FAQ
Common questions about integrating Helicone (LLM Observability) MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.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.
Connect Helicone (LLM Observability) to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.