How to Use the Indy MCP in OpenAI Agents SDK

Q: How do I register the Indy MCP Server with the OpenAI Agents SDK?

Install the package and pass the server URL to MCPServerStreamableHttpParams. Your agent auto-discovers all 12 tools instantly.

Q: How does the OpenAI Agents SDK handle large volumes of submissions from Indy?

The SDK uses listrecords with built-in pagination to process submissions in batches. This keeps your agent's memory usage low and prevents token limits from clipping your data.

Q: What is the fastest way to get client details?

Use getuser to pull specific profiles. It targets a single ID, which saves token overhead compared to fetching the entire list.

Build production-grade agents with OpenAI Agents SDK using this MCP Server to run your freelance client intake.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Indy MCP to OpenAI Agents SDK

Create your Vinkius account to connect Indy to OpenAI Agents SDK 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 Indy with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate Client Onboarding with OpenAI Agents SDK

The `create_form` tool lets your agent programmatically generate custom intake forms for new freelance leads. This integration exposes this MCP Server directly to the OpenAI Agents SDK, allowing your system to spin up custom fields on demand without manual intervention. When a prospect submits their details, the agent uses `list_records` to parse the incoming data and verify eligibility. Set up guardrails in the OpenAI dashboard to track these actions, ensuring the agent never triggers unauthorized form creations or reads sensitive client records without explicit approval.

Real-time Client Management via Webhooks

Registering HTTP endpoints is simple with the `create_webhook` tool. This setup means your OpenAI Agents SDK agent instantly knows when a new lead lands, bypassing the need for constant, resource-heavy polling. If a project scope changes or a client drops off, the agent executes `delete_webhook` to clean up inactive endpoints. The SDK's built-in tracing maps every webhook registration and deletion, giving you a clear audit trail of your automated infrastructure.

Direct Team Allocation and Account Auditing

By exposing your entire team directory, the `list_users` tool lets your agent assign incoming client records to the right freelance specialist. This MCP Server integration lets your team skip manual triage by matching client needs directly with available talent profiles. To keep tabs on system health, the agent calls `get_account_info` to check your overall platform status. Your system will automatically halt operations if your billing limits or account access levels change unexpectedly.

Setup guide

Set up Indy MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Indy tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Indy tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Indy tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Indy Agent",
            instructions="You have access to Indy tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 Indy. 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 Indy 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 Indy MCP in OpenAI Agents SDK

Install the package and pass the server URL to `MCPServerStreamableHttpParams`. Your agent auto-discovers all 12 tools instantly.

Enforce guardrails in the SDK to restrict destructive actions. This prevents the agent from accidentally wiping out active templates.

The SDK uses `list_records` with built-in pagination to process submissions in batches. This keeps your agent's memory usage low and prevents token limits from clipping your data.

Use `get_user` to pull specific profiles. It targets a single ID, which saves token overhead compared to fetching the entire list.

All form submissions and user profiles stay isolated within Vinkius's zero-trust sandboxed isolates. Your client records never touch external training sets, keeping your proprietary freelance data strictly private.

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