How to Use the Fibery MCP in CrewAI

Deploy specialized agent crews to manage your Fibery workspace with collaborative research and action capabilities.

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Connect Fibery MCP to CrewAI

Create your Vinkius account to connect Fibery 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 Fibery with CrewAI

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Perplexity

Collaborative Fibery Operations

Assign research agents to use `search_entities` while action agents use `update_entity` to process findings. They share memory to keep the context accurate. This setup mimics a human team. Your agents work together to identify tasks and finish them without you needing to step in.

Autonomous Task Monitoring

Set a monitor agent to watch for new records using `query_entities`. When it finds a target, it triggers an action agent to update the record status. This creates a closed-loop system for your operations. You define the criteria, and the crew handles the rest of the work.

Multi-Agent Data Governance

Use `list_users` and `get_schema` to let your crew audit workspace permissions. The agents ensure all new tasks follow your workspace rules. It keeps your data clean as it scales. The agents verify the schema before creating any new entities.

Setup guide

Set up Fibery 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 Fibery tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass the server URL to the agent's MCP configuration. The agents then gain access to all tools, including `add_comment` and `query_entities`.

Yes, agents share memory of the entities they have touched. One agent can find a record and another can perform the `update_entity` call.

Access is restricted to your endpoint token. Only your specific agents can read or write to the workspace, ensuring your project records stay private.

The server supports any agent hierarchy. You can designate a manager agent to approve actions taken by subordinate agents on your databases.

No, your token is handled by the server and never shared. The agents only receive the authorization they need to perform their assigned work.

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