Nyckel ML MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Nyckel ML as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Nyckel ML. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Nyckel ML?"
)
print(response)
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.
LlamaIndex agents combine Nyckel ML tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Nyckel ML MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Nyckel ML MCP Server
LlamaIndex provides unique advantages when paired with Nyckel ML through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Nyckel ML tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Nyckel ML tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Nyckel ML, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Nyckel ML tools were called, what data was returned, and how it influenced the final answer
Nyckel ML + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Nyckel ML MCP Server delivers measurable value.
Hybrid search: combine Nyckel ML real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Nyckel ML to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Nyckel ML for fresh data
Analytical workflows: chain Nyckel ML queries with LlamaIndex's data connectors to build multi-source analytical reports
Nyckel ML MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Nyckel ML to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Nyckel ML to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNyckel ML + LlamaIndex FAQ
Common questions about integrating Nyckel ML MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.