How to Use the BL.INK MCP in OpenAI Agents SDK
Manage your BL.INK URLs inside OpenAI Agents SDK. Get link data and create short links without leaving your production agent pipeline.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BL.INK MCP to OpenAI Agents SDK
Create your Vinkius account to connect BL.INK 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.
Direct link management for OpenAI Agents SDK
Your agent handles link creation by calling `shorten_link` directly. It passes the destination URL to the BL.INK API and returns the branded short link to your application code. You can also modify active links using `update_link` or purge them from your account with `delete_link`. This keeps your production environment clean without manual dashboard work.
Monitor link performance in OpenAI Agents SDK
Query your click data using `get_link_analytics` to pull performance metrics into your agent's context. Your agent processes these numbers to decide which links need updating. Everything stays within your agent's execution trace. Use `get_link` to verify the destination of any specific URL before your agent reports it to the end user.
Organize your domain inventory
Your agent inventory stays synced using `list_domains`. It identifies which branded domains are currently active for your marketing campaigns. Call `get_domain` to inspect specific configuration details. This MCP server lets your agent act on the exact domain parameters defined in your account.
Set up BL.INK MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all BL.INK tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives BL.INK tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate BL.INK tools and returns structured results. Copy the full example on the right to get started.
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="BL.INK Agent",
instructions="You have access to BL.INK tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BL.INK. 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.
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 BL.INK MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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