How to Use the Feathery MCP in CrewAI

Q: How do I connect the Feathery MCP Server to a CrewAI agent?

Pass your Vinkius server URL directly into the agent's mcps parameter during initialization. For more control, use MCPServerHTTP to filter which MCP tools your crew can access.

Q: Can a CrewAI agent update user records in Feathery?

Your crew can fetch information using getuserdata and inspect sessions with getformsession. To modify data, you will need to configure a separate write-enabled tool as this server focuses on retrieval and auditing.

Q: How do multiple CrewAI agents share Feathery tool results?

CrewAI's shared memory system allows one agent to run listforms and pass the resulting form IDs to another agent. This second agent then runs getformdetails to analyze the schema without repeating the API call.

Deploy specialized agent teams to audit forms, monitor connector logs, and manage users with CrewAI and Feathery.

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Connect Feathery MCP to CrewAI

Create your Vinkius account to connect Feathery 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 Feathery with CrewAI

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Collaborative Form Audits via the Feathery MCP Server

The `list_connector_logs` tool provides a feed of recent integration errors across your active forms. In a CrewAI setup, an auditor agent pulls these logs while a developer agent analyzes the payload to write patches. The agents share context using CrewAI's memory, allowing them to cross-reference errors with `get_form_details` to pinpoint exactly which field caused the webhook to fail.

Autonomous User Management

The `list_users` tool retrieves the complete list of users active in your current environment. Your CrewAI management agent scans this list to flag inactive accounts or identify high-value signups that require immediate outreach. A secondary agent can then call `get_user_data` using the MCP Server to compile a full profile of the flagged user's form submissions. This gives your sales team complete context without manual searching.

Automated Workflow Optimization

The `list_workflows` tool exposes all automated pipelines configured in your Feathery account. A CrewAI analyst agent inspects these paths to find bottlenecks or redundant steps in your user onboarding sequence. It queries `get_workflow_details` to understand the step-by-step logic of a specific path. The agent then writes a summary of suggested improvements and logs it to your team's Slack channel.

Setup guide

Set up Feathery 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 Feathery tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your Vinkius server URL directly into the agent's `mcps` parameter during initialization. For more control, use `MCPServerHTTP` to filter which MCP tools your crew can access.

Your crew can fetch information using `get_user_data` and inspect sessions with `get_form_session`. To modify data, you will need to configure a separate write-enabled tool as this server focuses on retrieval and auditing.

CrewAI's shared memory system allows one agent to run `list_forms` and pass the resulting form IDs to another agent. This second agent then runs `get_form_details` to analyze the schema without repeating the API call.

Configure your CrewAI agents with built-in delays or max-retry limits. This prevents a crew of five agents from hammering `list_connector_logs` simultaneously and exhausting your API quota.

All user submission profiles and environment lists fetched by this MCP Server run through a zero-trust V8 sandbox. Vinkius processes this data ephemerally, ensuring no sensitive customer inputs are ever stored on our servers.

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