Nyckel ML MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"nyckel-ml": {
"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 Nyckel ML MCP Server
Connect your Nyckel machine learning account to your AI agent and leverage powerful automated classification and semantic search through natural conversation.
Cursor's Agent mode turns Nyckel ML into an in-editor superpower. Ask Cursor to generate code using live data from Nyckel ML and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Automated Classification — Send text or image URLs to your trained ML functions to get instant predictions and confidence scores.
- Semantic Search — Query your search function galleries to find semantically similar samples based on input data.
- Function Management — List all ML functions in your account and retrieve detailed configuration and metadata.
- Training Oversight — Access the data samples used to train your functions and monitor assigned labels.
- Sample Annotation — Upload new training samples and manually assign or update classification labels.
- Label Discovery — Retrieve the set of all available labels and categories defined for your ML models.
- Account Insights — Access profile and workspace metadata for your authenticated Nyckel account.
The Nyckel ML MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor 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 Nyckel ML to Cursor via MCP
Follow these steps to integrate the Nyckel ML MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Nyckel ML
Open Agent mode in chat and ask: "Using Nyckel ML, help me...". 10 tools available
Why Use Cursor with the Nyckel ML MCP Server
Cursor AI Code Editor provides unique advantages when paired with Nyckel ML through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Nyckel ML + Cursor Use Cases
Practical scenarios where Cursor combined with the Nyckel ML MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Nyckel ML MCP Tools for Cursor (10)
These 10 tools become available when you connect Nyckel ML to Cursor via MCP:
annotate_ml_sample
Assign label to a sample
create_ml_sample
Add a training sample
delete_ml_function
Delete an ML function
get_account_info
Get current account info
get_ml_function
Get specific function info
invoke_ml_function
Classify data using a function
list_ml_functions
) in your account. List all ML functions
list_ml_labels
List available labels
list_ml_samples
List training samples
semantic_search
Perform semantic search
Example Prompts for Nyckel ML in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Nyckel ML immediately.
"Classify this text: 'The delivery was very late and the food was cold' using function ID 'func_123'."
"Search my product gallery for an image similar to 'https://example.com/shoe.jpg' using function 'func_search_99'."
"List all the machine learning functions in my Nyckel account."
Troubleshooting Nyckel ML MCP Server with Cursor
Common issues when connecting Nyckel ML to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Nyckel ML + Cursor FAQ
Common questions about integrating Nyckel ML MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Nyckel ML with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Nyckel ML to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
