Ninox MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Create Records, Delete Record, Execute Ninox Script, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Ninox 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 App Connector for LlamaIndex
The Ninox app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Ninox. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Ninox?"
)
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 Ninox MCP Server
Connect your Ninox account to any AI agent and take full control of your low-code database orchestration and business automation through natural conversation. Ninox provides a powerful platform for creating custom business apps, and this integration allows you to retrieve database schemas, manage records across tables, and execute native Ninox scripts directly from your chat interface.
LlamaIndex agents combine Ninox tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Database & Table Orchestration — List all managed databases within your teams and retrieve detailed table schemas programmatically to ensure your data foundation is always synchronized.
- Record Lifecycle Management — Create, update, and delete records across any Ninox table with detailed field metadata directly from the AI interface to maintain high-fidelity business data.
- Script & Query Intelligence — Execute native Ninox scripts and complex queries via natural language to perform advanced data manipulation and custom calculations.
- Team & Workspace Control — List your organizational teams and monitor workspace access using simple AI commands to maintain a clear overview of your digital infrastructure.
- Operational Monitoring — Track system responses and manage data ingestion to ensure your business applications are always optimized.
The Ninox MCP Server exposes 8 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.
All 8 Ninox tools available for LlamaIndex
When LlamaIndex connects to Ninox through Vinkius, your AI agent gets direct access to every tool listed below — spanning low-code, relational-database, business-apps, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create or update records
Delete a record
Execute a Ninox script/query
Get database schema
Get details for a specific record
List all databases in the team
List records from a table
Update a specific record
Connect Ninox to LlamaIndex via MCP
Follow these steps to wire Ninox into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Ninox MCP Server
LlamaIndex provides unique advantages when paired with Ninox through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ninox tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ninox tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ninox, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Ninox tools were called, what data was returned, and how it influenced the final answer
Ninox + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Ninox MCP Server delivers measurable value.
Hybrid search: combine Ninox real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ninox 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 Ninox for fresh data
Analytical workflows: chain Ninox queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Ninox in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Ninox immediately.
"List all tables in my Ninox database ID 'db123'."
"Show me the schema and field definitions for the Customers table in database db_main."
"Create a new record in the Orders table with customer Acme Corp, amount 4500, and status Pending."
Troubleshooting Ninox MCP Server with LlamaIndex
Common issues when connecting Ninox to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNinox + LlamaIndex FAQ
Common questions about integrating Ninox MCP Server with LlamaIndex.