Hudu MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Asset, Create Company, Get Article, and more
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 App Connector for LlamaIndex
The Hudu app connector for LlamaIndex is a standout in the Developer Tools 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 Hudu. "
"You have 12 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
Connect your Hudu instance to any AI agent and manage your IT documentation through natural conversation.
LlamaIndex agents combine Hudu 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
- Company Management — List all client companies, inspect profiles, and create new company records
- Asset Tracking — Browse all assets (servers, workstations, network devices), filter by company, inspect details, and create new asset records with tags
- Password Vault — List stored passwords filtered by company, and securely retrieve individual password entries with secrets
- Knowledge Base — Browse all articles and read full content with metadata for any specific article
- Procedures & Checklists — List all procedures filtered by company and inspect detailed steps for operational checklists
The Hudu 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 Hudu tools available for LlamaIndex
When LlamaIndex connects to Hudu through Vinkius, your AI agent gets direct access to every tool listed below — spanning it-documentation, asset-tracking, password-vault, 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.
Requires asset name and company ID. Create a new asset
Requires a name. Create a new company
Get details for a specific article
Get details for a specific asset
Get details for a specific company
Get details for a specific password
Get details for a specific procedure
List knowledge base articles
Can be filtered by company ID. List assets
List all companies in Hudu
Can be filtered by company ID. List passwords
Can be filtered by company ID. List procedures
Connect Hudu to LlamaIndex via MCP
Follow these steps to wire Hudu 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 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
Example Prompts for Hudu in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Hudu immediately.
"Show all companies and the assets for 'Acme Corp', then retrieve the admin password."
"Search the knowledge base for articles about VPN setup and show the firewall procedures."
"Create a new company 'TechStart Inc' and add a server asset to it."
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.