How to Use the Cloudflare MCP in AutoGen

Q: How do AutoGen agents deploy a Cloudflare Worker?

The release agent uses the MCP Server's createdeployment tool after debating the rollout strategy with other agents. They check the live status of the deployment using listdeployments.

Q: Can AutoGen teams manage Cloudflare secrets?

Yes, a security agent can call createsecret to update keys. The team audits the active variables using listsecrets to confirm the update succeeded.

Q: How do AutoGen agents resolve Cloudflare routing conflicts?

One agent lists active paths using listworkerroutes while another checks the zone details via listzones. They negotiate the correct endpoint pattern before executing createworkerroute via the MCP Server.

Q: Can AutoGen clean up unused Workers?

Yes, the agent calls deleteworker to remove old scripts. Because this action is permanent, the agent must reach consensus or ask the user before deleting.

Build AutoGen agent teams that debate and coordinate Cloudflare Worker deployments, D1 database queries, and routing rules.

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Coordinate Cloudflare rollouts with AutoGen agent teams

`list_workers` lets your AutoGen orchestrator identify active scripts before coordinating a new release. A release agent proposes a rollout strategy using `create_deployment` while a QA agent reviews the plan. If the QA agent flags an issue, the team checks previous states with `list_deployments`. They agree on a rollback or a gradual rollout percentage using this MCP Server to execute the final decision.

Automate Cloudflare secret rotation in AutoGen

`list_secrets` allows your security agent to audit active environment variables across your Workers. When a rotation is required, the security agent debates with the deployment agent on the best window to execute `create_secret`. Once the new keys are active, the security agent cleans up old credentials using `delete_secret`. This multi-agent consensus ensures no active Worker loses its database or API credentials during rotation.

Manage Cloudflare routes and cache via AutoGen debate

`list_worker_routes` retrieves existing paths so your routing agent can identify conflicts before mapping new endpoints. The routing agent requests permission from the MCP Server to run `create_worker_route` to link scripts to your custom domains. If a route change requires clearing the CDN, a performance agent triggers `purge_cache` for the zone. The agents coordinate these steps sequentially, verifying zone IDs with `list_zones` to avoid affecting other live sites.

Setup guide

Set up Cloudflare MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Cloudflare tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Cloudflare_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Cloudflare data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Cloudflare_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Cloudflare data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cloudflare. 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 Cloudflare MCP in AutoGen

The release agent uses the MCP Server's `create_deployment` tool after debating the rollout strategy with other agents. They check the live status of the deployment using `list_deployments`.

Yes, a security agent can call `create_secret` to update keys. The team audits the active variables using `list_secrets` to confirm the update succeeded.

One agent lists active paths using `list_worker_routes` while another checks the zone details via `list_zones`. They negotiate the correct endpoint pattern before executing `create_worker_route` via the MCP Server.

Yes, the agent calls `delete_worker` to remove old scripts. Because this action is permanent, the agent must reach consensus or ask the user before deleting.

All tool executions run in an ephemeral, isolated V8 sandbox managed by the Vinkius MCP Server. Your API tokens and log streams from `create_tail_session` are processed locally within your AutoGen session and never written to persistent external storage.

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