How to Use the Microlink MCP in CrewAI

Q: How do I add Microlink to my CrewAI agents?

Pass the server URL directly into the mcps list of your agent configuration. Your agents will automatically gain access to all five tools.

Q: Does Microlink work with CrewAI hierarchical execution?

It does. You can have a manager agent delegate generatepdf tasks to specialized sub-agents based on the research results.

Deploy specialized crews in CrewAI to browse, audit, and report. Automate complex research with shared agent memory.

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Connect Microlink MCP to CrewAI

Create your Vinkius account to connect Microlink 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 Microlink with CrewAI

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Perplexity

Autonomous research crews

Assign an agent to use `extract_metadata` while another monitors the results. CrewAI allows these agents to work in parallel to gather site data. Your crew shares memory, so one agent's finding becomes another agent's starting point. It’s the fastest way to map a site.

Role-based visual reporting

Set one agent to trigger `take_screenshot` and another to analyze the visual output for layout issues. You get a full report without human intervention. This specialization is what makes the crew approach effective. Each agent focuses on a specific part of the site analysis.

Automated site auditing

Use `get_insights` to feed technical performance data to your audit agent. It can then draft a summary based on the results from the MCP Server. This removes the need for manual performance testing. Your crew handles the audit cycle from start to finish.

Setup guide

Set up Microlink 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 Microlink tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Microlink 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="Microlink Analyst",
        goal="Access and analyze Microlink data via MCP.",
        backstory="Expert analyst with direct Microlink access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Microlink 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 Microlink. 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 Microlink MCP in CrewAI

Pass the server URL directly into the `mcps` list of your agent configuration. Your agents will automatically gain access to all five tools.

Yes. Because CrewAI provides shared memory, one agent can run `extract_metadata` and the next agent can use that data to perform further analysis.

Absolutely. Use the tool filter in the MCP integration to restrict your agents to specific tools like `advanced_query` if needed.

It does. You can have a manager agent delegate `generate_pdf` tasks to specialized sub-agents based on the research results.

Every request is ephemeral and handled within a secure, isolated environment. We ensure that your browsing activity remains strictly private and isolated from other users.

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