Nyckel ML MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Nyckel ML through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"nyckel-ml": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Nyckel ML, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(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 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.
LangChain's ecosystem of 500+ components combines seamlessly with Nyckel ML through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Nyckel ML MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Nyckel ML via MCP
Why Use LangChain with the Nyckel ML MCP Server
LangChain provides unique advantages when paired with Nyckel ML through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Nyckel ML MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Nyckel ML queries for multi-turn workflows
Nyckel ML + LangChain Use Cases
Practical scenarios where LangChain combined with the Nyckel ML MCP Server delivers measurable value.
RAG with live data: combine Nyckel ML tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Nyckel ML, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Nyckel ML tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Nyckel ML tool call, measure latency, and optimize your agent's performance
Nyckel ML MCP Tools for LangChain (10)
These 10 tools become available when you connect Nyckel ML to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Nyckel ML to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersNyckel ML + LangChain FAQ
Common questions about integrating Nyckel ML MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Nyckel 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 Nyckel ML to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.