How to Use the Capsulink MCP in OpenAI Agents SDK

Manage your shortened URLs directly in OpenAI Agents SDK without leaving your production code environment.

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Connect Capsulink MCP to OpenAI Agents SDK

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

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Claude

Perplexity

Generate links with OpenAI Agents SDK

Call `shorten_url` to turn messy long strings into clean links on the fly. Your agent handles the creation while you focus on the logic. This MCP Server keeps your link generation inside the execution flow. It avoids the friction of manual dashboard switching.

Track performance data automatically

Use `get_link_stats` or `get_link_daily_stats` to feed click counts back into your agent's decision loop. You get raw numbers delivered straight to your runtime. These insights allow your agent to adjust its output based on how often specific links get hit. It turns static URLs into active data points.

Organize and clean your link inventory

Run `list_links` or `list_link_folders` to see exactly what you have stored in your account. Your agent can then group or sort these assets programmatically. Delete obsolete paths with `delete_link` or redirect traffic using `edit_link_destination`. It keeps your account clutter-free without human intervention.

Setup guide

Set up Capsulink 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 Capsulink tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Capsulink 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="Capsulink Agent",
            instructions="You have access to Capsulink 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 Capsulink MCP in OpenAI Agents SDK

You initialize the connection using the MCPServerStreamableHttp class. Pass the endpoint to your agent constructor to let your system discover all nine tools.

Yes. The SDK enforces guardrails on every action. It checks the inputs for your `shorten_url` requests before they ever hit the server.

Absolutely. This server handles only your shortened URL records and their associated analytics. All communication is routed through a secure, ephemeral tunnel.

No. The state lives on the provider side. Your agent simply polls the current status via `get_link_details` whenever it needs to resume work.

Vinkius handles the handshake. You provide one endpoint token, and the infrastructure manages the rest of the security layer.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

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