WorkAdventure MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Create Member, Delete Member, Get Map Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add WorkAdventure 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 WorkAdventure app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 10 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 WorkAdventure. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in WorkAdventure?"
)
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 WorkAdventure MCP Server
Connect your WorkAdventure virtual world to any AI agent and simplify how you manage your digital office or event space through natural conversation.
LlamaIndex agents combine WorkAdventure 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
- Member Management — List, create, and delete world members to control access to your virtual spaces.
- World Exploration — Query maps and active rooms to understand your virtual layout and current occupancy.
- Room Control — Get and update room variables to change environmental settings or interactive elements on the fly.
- World Insights — Retrieve comprehensive metadata and configuration details about your virtual environment.
The WorkAdventure 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.
All 10 WorkAdventure tools available for LlamaIndex
When LlamaIndex connects to WorkAdventure through Vinkius, your AI agent gets direct access to every tool listed below — spanning virtual-office, remote-work, virtual-spaces, 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.
Add a new member to the world
Remove a member from the world
Get details of a specific map
Get details of a specific member
Get variables for a room
Get virtual world information
List world maps
List world members in WorkAdventure
List active rooms
Update a room variable
Connect WorkAdventure to LlamaIndex via MCP
Follow these steps to wire WorkAdventure 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 WorkAdventure MCP Server
LlamaIndex provides unique advantages when paired with WorkAdventure through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine WorkAdventure tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain WorkAdventure tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query WorkAdventure, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what WorkAdventure tools were called, what data was returned, and how it influenced the final answer
WorkAdventure + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the WorkAdventure MCP Server delivers measurable value.
Hybrid search: combine WorkAdventure real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query WorkAdventure 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 WorkAdventure for fresh data
Analytical workflows: chain WorkAdventure queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for WorkAdventure in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with WorkAdventure immediately.
"List all registered members in my WorkAdventure world."
"Change the room variable 'welcome_message' to 'Welcome to the Team!' in room 'lobby'."
"Show me a list of all active maps in this world."
Troubleshooting WorkAdventure MCP Server with LlamaIndex
Common issues when connecting WorkAdventure to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWorkAdventure + LlamaIndex FAQ
Common questions about integrating WorkAdventure MCP Server with LlamaIndex.