How to Use the Fastly MCP in CrewAI

Q: How do I organize Fastly agents in CrewAI?

Assign specific tools to each agent. Give your lead agent activateserviceversion and your junior agent listservices to keep roles clear.

Q: Can CrewAI manage multiple Fastly services?

Yes, just pass the service IDs to the agents. They use getservice to pull data for each one independently.

Deploy autonomous agent crews to monitor and manage your Fastly infrastructure at scale.

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Connect Fastly MCP to CrewAI

Create your Vinkius account to connect Fastly 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 Fastly with CrewAI

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Autonomous Fastly monitoring with CrewAI

Assign a monitor agent to poll `get_service_stats` at fixed intervals. If traffic spikes or error rates climb, the agent alerts the team. Your crew stays on top of performance without human input. It's a persistent watchtower for your edge infrastructure.

Coordinated Fastly operations in CrewAI

Let one agent analyze version status while another performs the `activate_service_version` call. The agents share context to prevent conflicting actions. This prevents the common mistake of activating an untested configuration. The crew verifies the state before taking action.

Fastly domain management via CrewAI

Scale your operations by having an agent list and verify domains using `list_version_domains`. It can identify misconfigured endpoints across multiple services. When a domain needs updating, the agent creates a report or triggers the fix. You get a clean overview of your entire CDN footprint.

Setup guide

Set up Fastly 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 Fastly tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Assign specific tools to each agent. Give your lead agent `activate_service_version` and your junior agent `list_services` to keep roles clear.

Yes, just pass the service IDs to the agents. They use `get_service` to pull data for each one independently.

Vinkius handles the credentials. The agents receive a scoped token that limits them to the specific Fastly tools they need to function.

The agents detect the rate limit response. They pause execution and resume once the cooldown period expires, preventing service disruption.

The agents only touch your CDN service configuration and performance metrics. Your actual origin content remains untouched and secure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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