How to Use the Unleash (Feature Toggles) MCP in CrewAI

Q: How do I fetch feature flags with Unleash (Feature Toggles) and CrewAI?

Use the getclientfeatures tool. This allows your crew of agents to evaluate all active feature flags and strategies for server-side evaluation before acting.

Q: What projects can I list with Unleash (Feature Toggles) and CrewAI?

The listprojects tool fetches every project configured in your account. This helps the autonomous agent know which systems it has permission to interact with.

Q: Can I list segments with Unleash (Feature Toggles) and CrewAI?

Yes. The listsegments tool fetches every segment defined in your account. This lets your multi-agent system filter its operations based on group membership.

Q: How do I check which environments are available with Unleash (Feature Toggles) and CrewAI?

The listenvironments tool pulls every environment configured in your account. This is necessary for running controlled tests across staging or production deployments.

Run Autonomous Flag Evaluation with Unleash (Feature Toggles) using CrewAI.

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Setup Unleash (Feature Toggles) with CrewAI

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Determine Feature Flags for a Context

The `get_client_features` tool fetches all feature flags and strategies required for server-side evaluation. You can also run `get_frontend_features`, passing in context like user ID or properties.

Discover All Configured Projects

Call `list_projects` to get a list of every configured project ID. If you need to check all available feature flags, use the `list_project_features` tool with a specific project ID.

Monitor Usage via MCP Server Tools

Your agent can report usage using both `report_client_metrics` and `report_frontend_metrics`. These tools send flag usage data, letting you monitor how often features are actually being used.

Setup guide

Set up Unleash (Feature Toggles) 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 Unleash (Feature Toggles) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Unleash (Feature Toggles) 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 Unleash. 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 Unleash (Feature Toggles) MCP in CrewAI

Use the `get_client_features` tool. This allows your crew of agents to evaluate all active feature flags and strategies for server-side evaluation before acting.

The `list_projects` tool fetches every project configured in your account. This helps the autonomous agent know which systems it has permission to interact with.

This MCP Server interacts with user configuration, specifically `list_users`. Your agents can fetch all configured users, helping them route operations based on who the end-user is.

Yes. The `list_segments` tool fetches every segment defined in your account. This lets your multi-agent system filter its operations based on group membership.

The `list_environments` tool pulls every environment configured in your account. This is necessary for running controlled tests across staging or production deployments.

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