Hudu 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 Hudu 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 Hudu. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Hudu?"
)
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 Hudu MCP Server
Empower your AI agents to interact with your Hudu IT documentation. This MCP server allows you to list companies, retrieve asset details, manage contacts, view knowledge base articles, and access stored passwords directly through the Hudu API. Ideal for automating MSP workflows and IT management.
LlamaIndex agents combine Hudu 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.
The Hudu 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 Hudu to LlamaIndex via MCP
Follow these steps to integrate the Hudu 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 Hudu
Why Use LlamaIndex with the Hudu MCP Server
LlamaIndex provides unique advantages when paired with Hudu through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Hudu tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Hudu tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Hudu, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Hudu tools were called, what data was returned, and how it influenced the final answer
Hudu + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Hudu MCP Server delivers measurable value.
Hybrid search: combine Hudu real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Hudu 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 Hudu for fresh data
Analytical workflows: chain Hudu queries with LlamaIndex's data connectors to build multi-source analytical reports
Hudu MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Hudu to LlamaIndex via MCP:
get_company
Retrieves details for a specific company
list_activity_logs
Lists activity logs
list_articles
Lists knowledge base articles
list_assets
Lists documented assets
list_companies
Lists all companies in Hudu
list_contacts
Lists contacts across all companies
list_networks
Lists documented networks
list_passwords
Lists stored passwords
list_procedures
Lists documented procedures
list_websites
Lists monitored websites
Example Prompts for Hudu in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Hudu immediately.
"List all companies documented in Hudu."
"Show me assets for company ID 123."
"Find knowledge base articles related to backup procedures."
Troubleshooting Hudu MCP Server with LlamaIndex
Common issues when connecting Hudu to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHudu + LlamaIndex FAQ
Common questions about integrating Hudu 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 Hudu 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 Hudu to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.