How to Use the GitScrum ClientFlow MCP in OpenAI Agents SDK

Q: Can an OpenAI Agents SDK agent use GitScrum ClientFlow to draft proposals?

Yes, your agent can call getproposal and listproposals to analyze active contracts. It can use this data to draft updates or prepare new billing terms based on current work.

Build production agent networks with OpenAI Agents SDK that manage invoices, budgets, and clients without manual overhead.

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Connect GitScrum ClientFlow MCP to OpenAI Agents SDK

Create your Vinkius account to connect GitScrum ClientFlow 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.

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Setup GitScrum ClientFlow with OpenAI Agents SDK

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Automated billing with OpenAI Agents SDK

`create_invoice` is the primary tool your agent uses to generate client bills directly from logged hours. By linking this tool with your OpenAI agent workflows, you can trigger billing drafts the second a milestone is marked complete. The SDK lets you set up guardrails that inspect the payload before the invoice goes out. This keeps your agent from sending unverified billing numbers to clients while keeping the entire pipeline automated.

Real-time budget and time tracking

`project_budget` gives your AI agent direct access to financial limits so it can flag overruns before they happen. It pulls live numbers to compare against active tasks, ensuring you never run over agreed limits. When developers finish tasks, the agent uses `log_time` and `list_time_entries` to update the project file. You get an accurate, automated audit trail without chasing down team members for timesheets.

Client onboarding via MCP Server tools

`create_client` allows your OpenAI agent to register new accounts the moment a proposal is signed. The agent handles the data entry, pulling details from your discovery chats to populate the record. You can then run `list_clients` or `get_client` to verify the setup. This removes manual database entry from your account management pipeline entirely.

Setup guide

Set up GitScrum ClientFlow 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 GitScrum ClientFlow tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate GitScrum ClientFlow 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="GitScrum ClientFlow Agent",
            instructions="You have access to GitScrum ClientFlow tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about GitScrum ClientFlow MCP in OpenAI Agents SDK

Install the SDK and initialize the streamable HTTP server parameters with your Vinkius endpoint to connect the MCP Server. Pass the server instance directly into your Agent constructor using the `mcp_servers` parameter to expose the tools.

Yes, your agent can call `get_proposal` and `list_proposals` to analyze active contracts. It can use this data to draft updates or prepare new billing terms based on current work.

The server runs inside a V8 isolate sandbox on Vinkius, which manages connection pooling. Your OpenAI Agents SDK client can make parallel calls to `list_time_entries` or `list_invoices` without hitting API bottlenecks.

You control tool access at the agent level by defining specific tool filters or using multiple specialized agents. For example, you can give a billing agent access to `create_invoice` while limiting a PM agent to `log_time`.

Vinkius hosts the MCP Server in an ephemeral, zero-trust environment. Your raw client details, invoices, and time logs are never cached on our servers, and all transport is encrypted via HTTPS.

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