How to Use the Bitly MCP in CrewAI

Q: How do I assign specific Bitly tools to a single CrewAI agent?

Use the MCPServerHTTP class and pass a toolfilter. This lets you restrict your research agent to getclicks while giving your publisher agent exclusive access to shortenurl.

Deploy specialized agent teams in CrewAI to analyze, shorten, and optimize your Bitly links autonomously.

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Connect Bitly MCP to CrewAI

Create your Vinkius account to connect Bitly to CrewAI 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 Bitly with CrewAI

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Multi-agent coordination for Bitly link optimization

Let specialized agents manage your brand's touchpoints. In CrewAI, you can set up a researcher agent that analyzes traffic with `get_referrers` while a copywriter agent uses `update_bitlink` to polish low-performing links. These agents share memory and collaborate. They pass data back and forth to ensure your links are always optimized without you having to write custom script integrations.

Autonomous campaign curation using this MCP Server

Automate your content distribution pipeline. A curator agent can list existing campaigns using `list_groups`, while a publisher agent generates new short links via `shorten_url` and organizes them instantly. The entire process runs in the background. Your agents coordinate the execution order, ensuring links are grouped properly before any promotional emails or posts are drafted.

Automated performance auditing and reporting

Keep a constant eye on your marketing assets. A monitoring agent can call `get_clicks` and `get_countries` daily to detect sudden traffic drops or unexpected spikes from specific regions. If something looks off, the agent can escalate the issue to a human moderator or generate a `create_qr_code` task for print media updates. This turns static links into dynamic, monitored assets.

Setup guide

Set up Bitly MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Bitly tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Bitly Analyst",
    goal="Access and analyze Bitly data via MCP.",
    backstory="Expert analyst with direct Bitly access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Bitly transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Bitly Analyst",
        goal="Access and analyze Bitly data via MCP.",
        backstory="Expert analyst with direct Bitly access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Bitly transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 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.

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Common questions about Bitly MCP in CrewAI

Use the `MCPServerHTTP` class and pass a `tool_filter`. This lets you restrict your research agent to `get_clicks` while giving your publisher agent exclusive access to `shorten_url`.

Yes, CrewAI's shared memory allows one agent to pass the output of `shorten_url` directly to another agent tasked with drafting social media posts or generating a QR code via `create_qr_code`.

You can pass the Vinkius URL directly in your Agent configuration using the `mcps` list. For more complex setups, import `MCPServerHTTP` from `crewai.mcp` to manage the MCP connection.

It supports stdio, SSE, and Streamable HTTP. CrewAI easily connects to the hosted Vinkius endpoint using standard HTTP protocols.

Vinkius isolates each connection within its own secure V8 sandbox. Your sensitive account tokens and link configurations are encrypted in transit and never exposed to the multi-agent execution environment.

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