How to Use the Flipt MCP in AutoGen

Q: How do I register the Flipt MCP Server with my AutoGen agents?

Install autogen-extmcp and use mcpservertools with your server URL. Pass the generated tools list directly to your AssistantAgent constructor so they can access the tools.

Q: How do AutoGen agents handle Flipt namespace isolation?

Your agents use listnamespaces to discover available environments. You can programmatically restrict specific agents to certain namespaces to maintain strict separation between staging and production environments.

Q: What happens if an AutoGen agent tries to create a duplicate constraint?

The createconstraint tool will return an error from the Flipt MCP server. The calling agent receives this error in the conversation thread, allowing it or another agent to correct the parameters and retry.

Let your AutoGen agents debate and coordinate Flipt flag rollouts securely before applying changes to production.

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Setup Flipt with AutoGen

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Multi-agent debate on Flipt rollouts

Your AutoGen agents use `list_rollouts` and `list_rules` to analyze current traffic distribution before making configuration updates. This MCP Server setup lets a security agent and a release agent debate whether a rollout is safe. Instead of one agent blindly changing a rule, the release agent proposes a change and the security agent checks it against existing policies. Only when both agents agree does the system execute the update.

Automated variant management in AutoGen

The `create_variant` and `create_distribution` tools allow your AutoGen developer agent to register new flag options during a collaborative coding session. This capability ensures your multi-agent team can prepare flag structures without developer intervention. While one agent writes the code, another agent uses these tools to set up the corresponding variants in Flipt. This parallel execution speeds up feature delivery by automating the manual configuration steps.

Consensus-driven constraint design

Design complex targeting rules using `create_constraint` and `list_segments` through coordinated AutoGen conversations. This MCP integration allows your performance agent to argue for a strict constraint to limit load, while the product agent pushes for a wider rollout. They negotiate a compromise constraint and write it directly to the Flipt server. This collaborative approach prevents single-point failure configurations during live updates.

Setup guide

Set up Flipt 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 Flipt 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="Flipt_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Flipt 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="Flipt_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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 Flipt. 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 Flipt MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with your server URL. Pass the generated tools list directly to your `AssistantAgent` constructor so they can access the tools.

Yes, you can set up a group chat where agents must reach consensus before calling `create_variant` or `create_distribution`. This prevents a single agent from making unapproved changes to your flag configurations.

Your agents use `list_namespaces` to discover available environments. You can programmatically restrict specific agents to certain namespaces to maintain strict separation between staging and production environments.

The `create_constraint` tool will return an error from the Flipt MCP server. The calling agent receives this error in the conversation thread, allowing it or another agent to correct the parameters and retry.

No, your rollout rules, segment names, and flag configurations are processed entirely within your isolated MCP sandbox. No third party or external agent has access to your feature flag data.

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