NachoNacho MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Nachonacho Status, Create Card, Freeze Card, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add NachoNacho 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 NachoNacho app connector for LlamaIndex is a standout in the Money Moves category — giving your AI agent 12 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 NachoNacho. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in NachoNacho?"
)
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 NachoNacho MCP Server
Connect your NachoNacho account to any AI agent and manage SaaS spend through natural conversation.
LlamaIndex agents combine NachoNacho tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Virtual Cards — Create, list, update, freeze, and unfreeze cards
- Transactions — Browse and inspect card transactions
- Balances — Monitor account funds
- Subscriptions — List and inspect managed SaaS subscriptions
The NachoNacho MCP Server exposes 12 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 12 NachoNacho tools available for LlamaIndex
When LlamaIndex connects to NachoNacho through Vinkius, your AI agent gets direct access to every tool listed below — spanning saas-spend, virtual-cards, subscription-tracking, 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.
Verify connectivity
Create a virtual card
Freeze a card
Get card details
Get subscription details
Get transaction details
List balances
List virtual cards
List subscriptions
List transactions
Unfreeze a card
Update a card
Connect NachoNacho to LlamaIndex via MCP
Follow these steps to wire NachoNacho 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 NachoNacho MCP Server
LlamaIndex provides unique advantages when paired with NachoNacho through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine NachoNacho tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain NachoNacho tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query NachoNacho, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what NachoNacho tools were called, what data was returned, and how it influenced the final answer
NachoNacho + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the NachoNacho MCP Server delivers measurable value.
Hybrid search: combine NachoNacho real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query NachoNacho 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 NachoNacho for fresh data
Analytical workflows: chain NachoNacho queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for NachoNacho in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with NachoNacho immediately.
"List all virtual cards and their spend."
"Create a virtual card for a new Notion subscription with $25 limit."
"Freeze the Figma card and show account balance."
Troubleshooting NachoNacho MCP Server with LlamaIndex
Common issues when connecting NachoNacho to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNachoNacho + LlamaIndex FAQ
Common questions about integrating NachoNacho MCP Server with LlamaIndex.