How to Use the Flipt MCP in CrewAI

Q: How do I limit Flipt tool access in CrewAI?

Use the toolfilter option in your MCP server setup. This allows you to restrict specific agents to read-only tools like listsegments while reserving write tools for the moderator.

Deploy autonomous agent crews to monitor and update feature flags with this Flipt MCP Server.

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Connect Flipt MCP to CrewAI

Create your Vinkius account to connect Flipt 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 Flipt with CrewAI

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Collaborative flag monitoring in CrewAI

Assign a dedicated monitor agent to keep track of your environment using `list_flags` and `list_rollouts`. It reports back to the crew whenever a flag configuration drifts. This specialization allows your agents to focus on specific tasks. One agent manages the read-only audit while another prepares the changes.

Autonomous rollout adjustments in CrewAI

Task your agents with updating distribution logic using `create_distribution` based on research findings. The crew iterates on the configuration until it meets your criteria. It allows for rapid experimentation without manual oversight. The agents verify the current segments before making any modifications to your rules.

Hierarchical flag management in CrewAI

Set up a moderator agent to gate the `create_constraint` tool. All changes proposed by the research agents must pass through the moderator first. This structure prevents conflicting rollouts. You maintain total control over your production environment while the agents do the legwork.

Setup guide

Set up Flipt 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 Flipt tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Flipt 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 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 CrewAI

Pass the server URL directly into your agent's MCP configuration. The crew will automatically discover the available tools and incorporate them into their planning process.

Yes, by utilizing the shared memory feature of the crew. An agent can research flags with `list_flags` and store the state for other agents to act upon.

Use the tool_filter option in your MCP server setup. This allows you to restrict specific agents to read-only tools like `list_segments` while reserving write tools for the moderator.

It does. The server handles concurrent requests from multiple agents, allowing your entire crew to query and update your flags without race conditions.

Your tokens are managed as environment variables and passed securely to the MCP server. The server protects your credentials by isolating them from the agent's internal reasoning process.

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