How do I get my Nyckel credentials?

Log in to your Nyckel dashboard, navigate to your profile or settings, and look for the 'API Keys' section to find your Client ID and Client Secret.

Does this support image classification?

Yes! You can pass a publicly accessible image URL to the `invoke_ml_function` or `semantic_search` tools to classify or search based on visual content.

How accurate are the predictions?

Accuracy depends on the quality and quantity of training samples provided to your Nyckel function. The `invoke_ml_function` tool returns a confidence score for each prediction.

Nyckel ML MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Nyckel ML
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Nyckel ML through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Nyckel ML "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Nyckel ML?"
    )
    print(result.data)

asyncio.run(main())

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* 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.

Pydantic AI validates every Nyckel ML tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Nyckel ML to Pydantic AI via MCP

Follow these steps to integrate the Nyckel ML MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Nyckel ML with type-safe schemas

Why Use Pydantic AI with the Nyckel ML MCP Server

Pydantic AI provides unique advantages when paired with Nyckel ML through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Nyckel ML integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Nyckel ML connection logic from agent behavior for testable, maintainable code

Nyckel ML + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Nyckel ML MCP Server delivers measurable value.

Type-safe data pipelines: query Nyckel ML with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Nyckel ML tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Nyckel ML and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Nyckel ML responses and write comprehensive agent tests

Nyckel ML MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Nyckel ML to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Nyckel ML to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Nyckel ML + Pydantic AI FAQ

Common questions about integrating Nyckel ML MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Nyckel ML MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.