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Wing Assistant MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Create Task, Get Assistant, Get Task Status, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Wing Assistant 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 Wing Assistant app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 Wing Assistant. "
            "You have 6 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Wing Assistant?"
    )
    print(response)

asyncio.run(main())
Wing Assistant
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About Wing Assistant MCP Server

Connect your Wing Assistant account to any AI agent to automate your delegation workflows and manage your virtual team. Wing provides a managed service that combines AI efficiency with human expertise, and this integration allows you to interact with your assistants through natural conversation.

LlamaIndex agents combine Wing Assistant tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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

  • Assistant Orchestration — List all your active virtual assistants and retrieve detailed metadata about their roles and skills.
  • Task Delegation — Delegate new units of work by creating tasks directly in your assistant's queue with clear instructions and priorities.
  • Real-time Lifecycle Control — Update task details, instructions, and statuses programmatically to ensure project alignment.
  • Operational Monitoring — Track task progress and history across your entire workspace to stay updated on your virtual team's output.
  • Resource Navigation — Monitor your assistant's current workload and capacity to optimize your delegation strategy.

The Wing Assistant MCP Server exposes 6 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 6 Wing Assistant tools available for LlamaIndex

When LlamaIndex connects to Wing Assistant through Vinkius, your AI agent gets direct access to every tool listed below — spanning virtual-assistant, task-delegation, outsourcing, 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.

create_task

Provide title and description. Create a new task for an assistant

get_assistant

Get details of a specific assistant

get_task_status

Get current status of a unit of work

list_assistants

List all active virtual assistants

list_tasks

List all tasks assigned to assistants

update_task

Update an existing task

Connect Wing Assistant to LlamaIndex via MCP

Follow these steps to wire Wing Assistant into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 6 tools from Wing Assistant

Why Use LlamaIndex with the Wing Assistant MCP Server

LlamaIndex provides unique advantages when paired with Wing Assistant through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Wing Assistant tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Wing Assistant tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Wing Assistant, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Wing Assistant tools were called, what data was returned, and how it influenced the final answer

Wing Assistant + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Wing Assistant MCP Server delivers measurable value.

01

Hybrid search: combine Wing Assistant real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Wing Assistant to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Wing Assistant for fresh data

04

Analytical workflows: chain Wing Assistant queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Wing Assistant in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Wing Assistant immediately.

01

"Create a new task for my virtual team to 'Compile a list of 50 local real estate agencies in Miami' and include detailed instructions to find their contact emails."

02

"Check the status of task ID 'TSK-8492' and if it's still pending, update the priority instructions to 'Urgent - Need by EOD today'."

03

"Show me the current workload and active tasks assigned to my assistant 'Maria'."

Troubleshooting Wing Assistant MCP Server with LlamaIndex

Common issues when connecting Wing Assistant to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Wing Assistant + LlamaIndex FAQ

Common questions about integrating Wing Assistant MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Wing Assistant tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.