How to Use the Alpic MCP in CrewAI

Q: Can I publish Alpic servers using CrewAI?

Yes, use the publishtoregistry tool. Your agents can handle the process of making your MCP server public after verifying the build status.

Coordinate specialized agent crews to manage your Alpic MCP server infrastructure.

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Connect Alpic MCP to CrewAI

Create your Vinkius account to connect Alpic 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 Alpic with CrewAI

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Coordinate Alpic tasks with CrewAI

Assign research agents to use `list_projects` while your admin agents handle `update_project`. This role-based setup ensures your infrastructure stays updated. Your agents collaborate to keep environments in sync. One agent monitors the status while the other performs the necessary configuration changes.

Automate Alpic project health checks

Build an agent crew that periodically calls `get_project_analytics`. They can identify performance bottlenecks and report back to you. `get_server_info` acts as a heartbeat check. Your crew ensures that every server in your registry remains reachable and healthy.

Securely manage Alpic environments with CrewAI

Restrict access to `delete_variable` or `delete_project` by assigning them to a specific moderator agent. This keeps your production data safe from accidental changes. `list_teams` helps your agents understand the scope of their authority. They only operate on the resources you explicitly permit.

Setup guide

Set up Alpic 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 Alpic tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You provide the server URL to your agent configuration. The agents will then be able to call the tools directly during their execution tasks.

Agents can list, add, or delete variables as needed. This is useful for rotating keys or updating flags across different deployment environments.

Your API keys and database URLs are stored as masked values. Even when your agents interact with them, the raw data is kept secure within the server.

You can configure your crew to retry the operation or escalate the issue to a human agent. The logs retrieved via `get_deployment_logs` help diagnose the cause.

Yes, use the `publish_to_registry` tool. Your agents can handle the process of making your MCP server public after verifying the build status.

Use it with your favorite AI tools

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