Hub Planner 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 Hub Planner as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Hub Planner. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Hub Planner?"
)
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 Hub Planner MCP Server
Connect your AI agents to Hub Planner to optimize your resource management. This MCP server allows you to list resources, track project progress, manage bookings, and view client information directly through the Hub Planner API. Ideal for project managers and operations teams.
LlamaIndex agents combine Hub Planner 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 Hub Planner 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 Hub Planner to LlamaIndex via MCP
Follow these steps to integrate the Hub Planner 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 Hub Planner
Why Use LlamaIndex with the Hub Planner MCP Server
LlamaIndex provides unique advantages when paired with Hub Planner through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Hub Planner tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Hub Planner tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Hub Planner, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Hub Planner tools were called, what data was returned, and how it influenced the final answer
Hub Planner + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Hub Planner MCP Server delivers measurable value.
Hybrid search: combine Hub Planner real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Hub Planner 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 Hub Planner for fresh data
Analytical workflows: chain Hub Planner queries with LlamaIndex's data connectors to build multi-source analytical reports
Hub Planner MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Hub Planner to LlamaIndex via MCP:
get_me
Gets current authenticated user info
list_bookings
Lists resource bookings
list_categories
Lists booking categories
list_clients
Lists all clients
list_events
Lists events/time-off
list_projects
Lists all projects
list_resources
Lists resources (people, equipment)
list_tags
Lists tags used in projects and resources
list_teams
Lists all teams
list_unassigned
Lists unassigned bookings
Example Prompts for Hub Planner in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Hub Planner immediately.
"List all resources in Hub Planner."
"Show me active projects."
"Check bookings for the next 7 days."
Troubleshooting Hub Planner MCP Server with LlamaIndex
Common issues when connecting Hub Planner to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHub Planner + LlamaIndex FAQ
Common questions about integrating Hub Planner 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 Hub Planner 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 Hub Planner to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.