How to Use the Wing Assistant MCP in LlamaIndex

Q: Is the data from createtask searchable with LlamaIndex?

Yes. Once an agent uses createtask, the resulting record can be indexed, allowing you to query it later like any other piece of knowledge in your index.

Ground your AI knowledge with Wing Assistant and LlamaIndex.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Wing Assistant MCP to LlamaIndex

Create your Vinkius account to connect Wing Assistant to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Wing Assistant with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Creating a Searchable Knowledge Base

LlamaIndex doesn't just run the tools; it indexes the results. When you call `list_assistants`, that resulting list is immediately added to your vector store. You can then query past configurations or API data and get answers grounded in actual records. This means if you ask, 'What tasks did we assign last month?', the answer comes directly from the raw output of the MCP Server's `list_tasks` tool.

Running Multi-Step Operations via LlamaIndex

You can build RAG applications that combine document knowledge with live API data. For example, you might query a manual (document) and then use the MCP Server's `update_task` tool to make sure the assigned task reflects the new policy. The live state of Wing Assistant is just as searchable as any PDF you upload into your index.

Querying Task Assignments with LlamaIndex

Need to know what's going on? You can query past sessions using `get_task_status` or `list_tasks`. Since the output is indexed, you don’t have to write a complex retrieval chain; you just ask the question. It treats the task records—the titles and descriptions—as searchable facts within your knowledge base.

Setup guide

Set up Wing Assistant MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Wing Assistant MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Wing Assistant tools.",
)
response = await agent.run("List recent Wing Assistant data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wing Assistant. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Wing Assistant now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Wing Assistant MCP in LlamaIndex

The MCP Server output becomes part of a unified, queryable index. You can ask questions about task assignments or assistant details and get answers grounded in the actual API data.

Yes. You combine external documents with live MCP Server data, like current unit of work status, so your AI client has all the context it needs to answer accurately.

This server manages task records—the titles, descriptions, statuses, and lists of available virtual assistants. All that structured data is indexed.

Yes. Once an agent uses `create_task`, the resulting record can be indexed, allowing you to query it later like any other piece of knowledge in your index.

It eliminates hallucinations. Instead of just running a tool and giving you raw data, you get answers that are directly sourced from the task or assistant records managed by the MCP Server.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript