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Aero Workflow MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Api Health, Create New Customer, Create New Workflow Task, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Aero Workflow 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 Aero Workflow app connector for LlamaIndex is a standout in the Productivity 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

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 Aero Workflow. "
            "You have 12 tools available."
        ),
    )

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

asyncio.run(main())
Aero Workflow
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High SecurityEnterprise-grade
IAMAccess control
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DLPData protection
V8 IsolateSandboxed
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Aero Workflow MCP Server

Connect your Aero Workflow account to any AI agent and take full control of your accounting practice management and automated firm operations through natural conversation.

LlamaIndex agents combine Aero Workflow 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

  • Workflow & Task Orchestration — List and manage your entire practice hierarchy programmatically, retrieving detailed checklists and high-fidelity technical instructions in real-time
  • Time Tracking Intelligence — Monitor billable hour records and retrieve detailed historical time logs to maintain a perfectly coordinated overview of staff productivity
  • Customer Lifecycle Management — Access complete directories of firm customers and business entities to coordinate your organizational relationship ecosystem programmatically
  • Communication Architecture — Access and monitor workflow-linked emails and message threads to maintain high-fidelity oversight of client interactions
  • Infrastructure Monitoring — Retrieve checklist templates and verify account-level settings directly through your agent for instant operational reporting

The Aero Workflow 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 Aero Workflow tools available for LlamaIndex

When LlamaIndex connects to Aero Workflow through Vinkius, your AI agent gets direct access to every tool listed below — spanning practice-management, task-tracking, time-logging, 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.

check_api_health

Verify Aero Workflow API status

create_new_customer

Requires name and contact information. Add a new client to Aero

create_new_workflow_task

Requires a subject and assigned user. Add a new task to Aero

get_account_info

Get account metadata

get_task_details

Get details for a specific task

list_checklist_templates

List reusable workflow templates

list_configured_webhooks

List active webhooks

list_firm_customers

List all client accounts

list_firm_team_members

List firm users and staff

list_time_tracking_logs

List time entries for tasks

list_workflow_emails

List communication emails

list_workflow_tasks

List workflow tasks and checklists

Connect Aero Workflow to LlamaIndex via MCP

Follow these steps to wire Aero Workflow 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 12 tools from Aero Workflow

Why Use LlamaIndex with the Aero Workflow MCP Server

LlamaIndex provides unique advantages when paired with Aero Workflow through the Model Context Protocol.

01

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

02

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

03

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

04

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

Aero Workflow + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Aero Workflow MCP Server delivers measurable value.

01

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

02

Data enrichment: query Aero Workflow 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 Aero Workflow for fresh data

04

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

Example Prompts for Aero Workflow in LlamaIndex

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

01

"List all active workflow tasks in my Aero account."

02

"Create a new task 'Urgent Tax Review' for customer 'Acme Corp'."

03

"Show my recent time tracking logs for this week."

Troubleshooting Aero Workflow MCP Server with LlamaIndex

Common issues when connecting Aero Workflow to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Aero Workflow + LlamaIndex FAQ

Common questions about integrating Aero Workflow 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 Aero Workflow 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.