How to Use the Zuplo MCP in LlamaIndex

Q: Can I index Zuplo environments with LlamaIndex?

Absolutely. Use listenvironments to get all defined states (like 'working' or 'production'). Indexing these results allows you to query which specific environment a resource belongs to.

Q: What kind of deployments can Zuplo support with LlamaIndex?

You can index deployment history using listdeployments. This allows your RAG application to answer questions about past infrastructure states or which version was active at a specific time.

Q: Does Zuplo help track configuration data for LlamaIndex?

Yes. Using listfiles lets you read project configurations, and that output can be chunked and added to your knowledge index. You'll get answers grounded in the actual content of those files.

Index Zuplo API status into a searchable knowledge base with LlamaIndex.

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Connect Zuplo MCP to LlamaIndex

Create your Vinkius account to connect Zuplo to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Zuplo with LlamaIndex

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Build RAG applications using Zuplo project structures.

LlamaIndex can index the structural data from your platform. Running `list_projects` adds every defined project name and ID to your knowledge base. When a user asks, 'What projects do we manage?', the resulting answer is grounded in actual API data rather than just general text.

Search historical Zuplo domain and environment configurations.

You can index external configuration details using `list_custom_domains` or project environments via `list_environments`. These results become searchable memory. This means you'll get answers like, 'The production site uses the custom domain X,' based on data indexed from the MCP Server.

Track API consumer lifecycles in a knowledge index.

Instead of just listing consumers via `list_consumers`, you can ingest that output. This allows your RAG system to answer complex questions like, 'Which consumers were created last month?' Tracking the data types associated with API key consumers ensures deep context for semantic search.

Setup guide

Set up Zuplo MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Zuplo MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Zuplo tools.",
)
response = await agent.run("List recent Zuplo data")

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Common questions about Zuplo MCP in LlamaIndex

Zuplo makes live, actionable configuration data searchable. You run tools like `list_projects` and index the structured output into a vector store. Your agent can then query this indexed API data to answer questions.

Absolutely. Use `list_environments` to get all defined states (like 'working' or 'production'). Indexing these results allows you to query which specific environment a resource belongs to.

The MCP Server touches details about API key consumers. By indexing the output of `list_consumers`, you create searchable records detailing who has access and what kind of keys they possess.

You can index deployment history using `list_deployments`. This allows your RAG application to answer questions about past infrastructure states or which version was active at a specific time.

Yes. Using `list_files` lets you read project configurations, and that output can be chunked and added to your knowledge index. You'll get answers grounded in the actual content of those files.

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