Comet ML MCP Server for Google ADK 6 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Comet ML 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="comet_ml_agent",
instruction=(
"You help users interact with Comet ML "
"using 6 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 Comet ML MCP Server
Connect your Comet ML account to any AI agent and take full control of your machine learning lifecycle through natural conversation.
Google ADK natively supports Comet ML as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 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
- Experiment Tracking — List and audit machine learning runs to inspect performance metadata, tags, and live execution statuses
- Numeric Metric Auditing — Retrieve high-precision numeric endpoints mapping metrics generated dynamically during your training loops
- Parameter Inspection — Extract explicit ML properties like learning rates and configurations logged to specific experiment keys
- Project & Workspace Navigation — Navigate through organizational namespaces and identify exactly where your ML research resides
- Run Metadata Analysis — Discovered disconnected physical limits parsing explicit run structures, timing, and structural configurations
The Comet ML MCP Server exposes 6 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 Comet ML to Google ADK via MCP
Follow these steps to integrate the Comet ML 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 6 tools from Comet ML via MCP
Why Use Google ADK with the Comet ML MCP Server
Google ADK provides unique advantages when paired with Comet ML 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 Comet ML
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 Comet ML tools with BigQuery, Vertex AI, and Cloud Functions
Comet ML + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Comet ML MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Comet ML and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Comet ML tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Comet ML regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Comet ML
Comet ML MCP Tools for Google ADK (6)
These 6 tools become available when you connect Comet ML to Google ADK via MCP:
get_experiment
Retrieve explicit Cloud logging tracing explicit Payload IDs
get_experiment_metrics
Execute static mapping targeting exactly defined numeric bounds natively
get_experiment_params
Inspect internal properties detailing API taxonomy types
list_experiments
Discover explicit routing arrays structuring specific logged experiment limits
list_projects
Perform structural extraction matching target Projects inside Comet
list_workspaces
Identify bounded routing spaces inside the Headless Comet ML limits
Example Prompts for Comet ML in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Comet ML immediately.
"List all projects in workspace 'research-team'"
"Get current metrics for experiment 'exp_abc123'"
"What hyperparameters were used in experiment 'exp_789'?"
Troubleshooting Comet ML MCP Server with Google ADK
Common issues when connecting Comet ML to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkComet ML + Google ADK FAQ
Common questions about integrating Comet ML 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 Comet ML 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 Comet ML to Google ADK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.