How to Use the Bitly MCP in OpenAI Agents SDK
Shorten URLs and track click data directly inside your OpenAI Agents SDK production pipeline.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Bitly MCP to OpenAI Agents SDK
Create your Vinkius account to connect Bitly 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.
Generate links with OpenAI Agents SDK
Call `shorten_url` to turn long web addresses into clean Bitly links without leaving your Python environment. You can set custom titles or specific domains for branding while the agent handles the request. The `create_qr_code` tool lets you generate imagery for those links instantly. Your agent attaches these codes to your outgoing messages or logs for offline tracking.
Analyze traffic via this MCP Server
Feed click data back into your agent logic using `get_clicks` or `get_referrers`. You get raw numbers on how many people hit your links and where they came from. Running `get_countries` provides a geographic breakdown of your audience. This helps your agent decide which markets to target next based on real traffic patterns.
Manage account links in OpenAI Agents SDK
Use `list_bitlinks` to pull every active URL from your account into the agent's memory. This makes it simple to audit your link library or find specific assets. Updating existing links is handled by `update_bitlink`. If you need to rename an entry or fix a title, your agent executes the change in one step.
Set up Bitly 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 Bitly tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Bitly tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Bitly 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="Bitly Agent",
instructions="You have access to Bitly 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 Bitly. 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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Real-time monitoring
Live
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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
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Common questions about Bitly MCP in OpenAI Agents SDK
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