Zuplo 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 Zuplo 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 Zuplo. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Zuplo?"
)
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 Zuplo MCP Server
Connect your Zuplo account to any AI agent and manage your programmable API infrastructure through natural conversation.
LlamaIndex agents combine Zuplo 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
- Project Management — List all Zuplo projects and API gateways in your account to monitor your integration landscape
- Edge Deployments — Trigger new configuration deployments to the global edge network or audit previous deployment history
- Consumer Governance — Create, manage, and revoke API key consumers to control who has access to your gateway authentication
- Environment Auditing — List available project environments (e.g., working, production) and verify their current operational status
- DNS & Domains — Retrieve and manage configured custom DNS domains for each of your API projects directly from your agent
- Real-Time Metrics — Monitor gateway traffic, latency, and throughput metrics directly from Zuplo's edge analytics network
- Declarative Config — Browse and list the configuration files that define your gateway's routing and policy logic
The Zuplo 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 Zuplo to LlamaIndex via MCP
Follow these steps to integrate the Zuplo 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 Zuplo
Why Use LlamaIndex with the Zuplo MCP Server
LlamaIndex provides unique advantages when paired with Zuplo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Zuplo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Zuplo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Zuplo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Zuplo tools were called, what data was returned, and how it influenced the final answer
Zuplo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Zuplo MCP Server delivers measurable value.
Hybrid search: combine Zuplo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Zuplo 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 Zuplo for fresh data
Analytical workflows: chain Zuplo queries with LlamaIndex's data connectors to build multi-source analytical reports
Zuplo MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Zuplo to LlamaIndex via MCP:
create_consumer
Create API key consumer
create_deployment
Create a new deployment
delete_consumer
Delete API key consumer
get_metrics
Get edge metrics
list_consumers
List API key consumers
list_custom_domains
List custom domains
list_deployments
List deployments
list_environments
g., working, production) for a Project. List project environments
list_files
List configuration files
list_projects
List Zuplo projects
Example Prompts for Zuplo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Zuplo immediately.
"List all my Zuplo projects."
"Check the latency metrics for 'proj-101'."
"Create a new consumer for 'Acme Partner' in project 'proj-101'."
Troubleshooting Zuplo MCP Server with LlamaIndex
Common issues when connecting Zuplo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpZuplo + LlamaIndex FAQ
Common questions about integrating Zuplo 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 Zuplo 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 Zuplo to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.