ncScale 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 ncScale as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 ncScale. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in ncScale?"
)
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 ncScale MCP Server
Connect your ncScale observability platform to your AI agent and gain full visibility into your no-code infrastructure through natural conversation.
LlamaIndex agents combine ncScale 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
- Node Monitoring — List all no-code elements (nodes) being monitored and get detailed configuration and status updates.
- Real-time Logs — Access recent activity and execution logs across your entire no-code stack.
- Incident Management — Track active alerts and associated support tickets to ensure high availability.
- Dashboards & Insights — View your custom observability dashboards and workspace metadata.
- Integration Oversight — Monitor third-party tools (Bubble, Airtable, etc.) connected to your ncScale account.
- Deep Inspection — Fetch complete metadata for specific nodes or alerts using their unique IDs.
The ncScale 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 ncScale to LlamaIndex via MCP
Follow these steps to integrate the ncScale 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 ncScale
Why Use LlamaIndex with the ncScale MCP Server
LlamaIndex provides unique advantages when paired with ncScale through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ncScale tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ncScale tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ncScale, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ncScale tools were called, what data was returned, and how it influenced the final answer
ncScale + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ncScale MCP Server delivers measurable value.
Hybrid search: combine ncScale real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ncScale 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 ncScale for fresh data
Analytical workflows: chain ncScale queries with LlamaIndex's data connectors to build multi-source analytical reports
ncScale MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect ncScale to LlamaIndex via MCP:
get_alert
Get specific alert info
get_node
Get specific node details
get_workspace_info
Get workspace metadata
list_alerts
List active monitoring alerts
list_dashboards
List observability dashboards
list_integrations
g., Bubble, Airtable) connected to ncScale. List active integrations
list_logs
List monitoring logs
list_nodes
List monitored no-code nodes
list_tickets
List monitoring tickets
list_users
List workspace users
Example Prompts for ncScale in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ncScale immediately.
"List all monitored nodes in my ncScale workspace."
"Show me the latest monitoring logs."
"Check if there are any active alerts right now."
Troubleshooting ncScale MCP Server with LlamaIndex
Common issues when connecting ncScale to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpncScale + LlamaIndex FAQ
Common questions about integrating ncScale 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 ncScale 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 ncScale to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.