Helicone (LLM Observability) MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Helicone (LLM Observability) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="helicone_llm_observability_agent",
instruction=(
"You help users interact with Helicone (LLM Observability) "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Helicone (LLM Observability) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the Helicone (LLM Observability) MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from Helicone (LLM Observability) via MCP
Why Use Google ADK with the Helicone (LLM Observability) MCP Server
Google ADK provides unique advantages when paired with Helicone (LLM Observability) through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Helicone (LLM Observability)
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Helicone (LLM Observability) tools with BigQuery, Vertex AI, and Cloud Functions
Helicone (LLM Observability) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Helicone (LLM Observability) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Helicone (LLM Observability) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Helicone (LLM Observability) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Helicone (LLM Observability) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Helicone (LLM Observability)
Helicone (LLM Observability) MCP Tools for Google ADK (10)
These 10 tools become available when you connect Helicone (LLM Observability) to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Helicone (LLM Observability) to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkHelicone (LLM Observability) + Google ADK FAQ
Common questions about integrating Helicone (LLM Observability) MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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 Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.