Bring Mlops
to Google ADK
Create your Vinkius account to connect Comet ML to Google ADK and start using all 6 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Enter your Comet ML API Key (found in Account Settings > API Keys)
- Start auditing your ML experiments from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Scientists — track and compare model metrics across experiments without leaving the research flow
- ML Engineers — audit experiment parameters and verify training configurations using natural language
- AI Researchers — navigate through multiple workspaces and projects to organize complex ML trials
- MLOps Teams — monitor active model evaluations and verify experiment completion statuses in real-time
Built-in capabilities (6)
Retrieve explicit Cloud logging tracing explicit Payload IDs
Execute static mapping targeting exactly defined numeric bounds natively
Inspect internal properties detailing API taxonomy types
Discover explicit routing arrays structuring specific logged experiment limits
Perform structural extraction matching target Projects inside Comet
Identify bounded routing spaces inside the Headless Comet ML limits
Why Google ADK?
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.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Comet ML
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Comet ML tools with BigQuery, Vertex AI, and Cloud Functions
Comet ML in Google ADK
Why run Comet ML with Vinkius?
The Comet ML connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 6 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Comet ML using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Comet ML and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Comet ML to Google ADK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Comet ML for Google ADK
Every request between Google ADK and Comet ML is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can my agent retrieve real-time metrics from an active ML run?
Yes. Use the 'get_experiment_metrics' tool with the experiment key. The agent will pull the latest numeric logged endpoints, allowing you to monitor loss, accuracy, and other custom metrics as they are generated.
How do I audit the parameters used in a specific experiment?
Provide the experiment key to your agent. The 'get_experiment_params' tool extracts all logged ML properties, helping you verify hyperparameters like learning rates, batch sizes, and model architectures.
Can I see a list of all experiments within a specific project?
Absolutely. Use the 'list_experiments' tool with the project ID. Your agent will surface all ML runs within that project, including their status and metadata, so you can quickly identify the results you need.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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