Comet ML MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Comet ML through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"comet-ml": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Comet ML Agent",
instructions:
"You help users interact with Comet ML " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Comet ML?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Comet ML tool infrastructure. Connect 6 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Comet ML MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from Comet ML via MCP
Why Use Mastra AI with the Comet ML MCP Server
Mastra AI provides unique advantages when paired with Comet ML through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Comet ML without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Comet ML tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Comet ML + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Comet ML MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Comet ML, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Comet ML as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Comet ML on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Comet ML tools alongside other MCP servers
Comet ML MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Comet ML to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Comet ML to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpComet ML + Mastra AI FAQ
Common questions about integrating Comet ML MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.