How to Use the Scoro MCP in OpenAI Agents SDK

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

Install openai-agents and initialize MCPServerStreamableHttp using your Vinkius endpoint. Pass this server instance inside the mcpservers list when instantiating your Agent class.

Q: Does this Scoro integration allow the OpenAI Agents SDK to modify invoices?

No, this MCP server only exposes read-only tools like listinvoices and listexpenses. Your agent can audit financial records but cannot write or alter any billing data.

Q: How safe is my Scoro contact and calendar data inside the OpenAI Agents SDK?

Vinkius runs the server in an isolated sandbox, exposing listcontacts and listcalendarevents only to your authorized runtime. No customer names, phone numbers, or meeting schedules are stored on Vinkius servers.

Get raw Scoro project states and financial records directly inside your OpenAI Agents SDK runtime with zero boilerplate.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Scoro MCP to OpenAI Agents SDK

Create your Vinkius account to connect Scoro to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Scoro with OpenAI Agents SDK

Ask AI about this MCP

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Claude

Perplexity Vinkius runs on Gemini

Gemini

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Direct financial pipeline auditing

`list_invoices` pulls raw billables and sales records into your agent's execution loop. This setup lets the OpenAI Agents SDK run background reconciliations without custom database connectors. You get clean JSON arrays representing actual business revenue directly from Scoro.

Real-time resource allocation with OpenAI Agents SDK

`list_time_entries` exposes exactly who logged what hours across your entire engineering team. Your agent parses these logs to calculate burn rates and flag over-allocated developers instantly. By feeding these records into specialized agents, you coordinate team availability dynamically. The SDK manages handoffs between billing agents and project coordinators without losing state.

Live project and task state analysis

`list_projects` retrieves active delivery pipelines alongside their associated milestones and deadlines. The agent maps these projects against the system's current work queue. Using this MCP Server data with `list_tasks` allows your agent to detect bottlenecks before they delay client delivery. You get an accurate snapshot of operational health during every run.

Setup guide

Set up Scoro 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 Scoro tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Scoro 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="Scoro Agent",
            instructions="You have access to Scoro 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 Scoro. 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

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Common questions about Scoro MCP in OpenAI Agents SDK

Install `openai-agents` and initialize `MCPServerStreamableHttp` using your Vinkius endpoint. Pass this server instance inside the `mcp_servers` list when instantiating your Agent class.

Yes, the SDK handles network transitions, but you should set `cacheToolsList=True` to avoid redundant schema lookups. This keeps your agent fast and prevents API exhaustion on high-volume runs.

No, this MCP server only exposes read-only tools like `list_invoices` and `list_expenses`. Your agent can audit financial records but cannot write or alter any billing data.

The SDK coordinates specialized agents by passing the context of tools like `list_tasks` and `list_users` between them. One agent identifies overdue tasks while another maps them to available team members.

Vinkius runs the server in an isolated sandbox, exposing `list_contacts` and `list_calendar_events` only to your authorized runtime. No customer names, phone numbers, or meeting schedules are stored on Vinkius servers.

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