How to Use the Formbricks MCP in CrewAI

Q: How do I limit which Formbricks MCP tools a CrewAI agent can access?

Use the MCPServerHTTP class from crewai.mcp and apply a toolfilter. This lets you restrict a CrewAI agent to only read Formbricks tools like getsurvey while blocking write tools.

Deploy specialized agent teams to manage and analyze Formbricks surveys in CrewAI.

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Connect Formbricks MCP to CrewAI

Create your Vinkius account to connect Formbricks 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 Formbricks with CrewAI

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Deploy a Formbricks MCP Server team with CrewAI

The researcher agent uses `get_contact_details` and `list_contacts` to build target lists for your specialized CrewAI team. Simultaneously, the CrewAI operations agent calls `create_survey` to launch custom Formbricks feedback forms for those segments. These specialized CrewAI agents collaborate using shared memory to ensure no Formbricks contact is surveyed twice. This keeps your automated Formbricks operations running smoothly without human intervention.

Analyze Formbricks feedback using CrewAI agent roles

An analyst agent tracks user sentiment by pulling responses with `list_responses` and `get_response` inside your CrewAI workspace. The CrewAI analyst extracts key feedback trends and flags them for the team. If the CrewAI analyst detects confusing questions, it coordinates with a manager agent to run `update_survey`. The manager agent modifies the Formbricks survey structure based on the feedback trends.

Segment CrewAI contacts with Formbricks tag updates

The agent pulls response data using `get_response` to evaluate user satisfaction and categorize users within your CrewAI pipeline. The CrewAI agent then cross-references this with `list_tags` to update the contact's profile. This ensures your Formbricks contact list stays segmented for future targeted CrewAI campaigns. You maintain an updated CRM database automatically through coordinated CrewAI agent steps.

Setup guide

Set up Formbricks 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 Formbricks tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You can pass your Vinkius server URL directly into the CrewAI agent's `mcps` parameter during initialization. The CrewAI agent automatically discovers Formbricks tools like `list_surveys` and `get_survey`.

Yes, CrewAI's hierarchical or sequential execution models allow different agents to call `get_contact_details` or `list_responses` as needed to complete their specific Formbricks tasks.

Use the `MCPServerHTTP` class from `crewai.mcp` and apply a `tool_filter`. This lets you restrict a CrewAI agent to only read Formbricks tools like `get_survey` while blocking write tools.

The integration supports stdio, SSE, and Streamable HTTP transports, allowing your CrewAI team to communicate with the Vinkius-hosted MCP Server over SSE.

Vinkius processes all tool calls in an ephemeral sandbox. Your Formbricks contact metadata and survey configurations are never logged, stored, or exposed to external networks.

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