How to Use the Fusioo MCP in CrewAI

Q: Can I restrict Fusioo tools in CrewAI?

Yes. Use MCPServerHTTP from crewai.mcp. Apply a filter to expose only specific tools like listapps to certain agents.

Deploy specialized agent teams in CrewAI to manage your Fusioo workspaces autonomously.

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Connect Fusioo MCP to CrewAI

Create your Vinkius account to connect Fusioo 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 Fusioo with CrewAI

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Perplexity

Assign Fusioo tools to specific roles

You don't want one massive MCP agent doing everything. CrewAI lets you split the work. Assign `list_workspace_reports` and `list_dashboard_widgets` to an Analyst agent. Give your Data Entry agent access to `create_app_record` and `update_app_record`. They share memory. The Analyst finds a problem, and the Data Entry agent fixes it. That is how real teams operate.

Hierarchical workspace administration

Set up a manager agent to oversee the process. The manager runs `get_my_identity` and `verify_api_connection` to ensure the environment is stable. Then it delegates tasks. It tells a subordinate to run `list_app_records` and count the results against `get_app_record_count`. If the numbers don't match, the manager triggers a reconciliation process.

Autonomous app schema mapping with this MCP Server

Your agents need to understand the data they are working with. A research agent can call `get_app_schema` to pull the exact field definitions for your custom apps. It stores this schema in shared memory. When the execution agent needs to write a new entry, it formats the payload perfectly based on that stored context. No hardcoded templates required.

Setup guide

Set up Fusioo 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 Fusioo tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Install the tools package. In your agent definition, pass your MCP endpoint URL directly into the configuration array. The framework handles the rest.

Yes. Use `MCPServerHTTP` from `crewai.mcp`. Apply a filter to expose only specific tools like `list_apps` to certain agents.

CrewAI agents execute sequentially or hierarchically. They naturally pace their requests. For strict rate limiting, you will need to implement delays in your agent's custom logic.

They share context, not direct tool outputs. One agent runs `get_record_details` and writes the summary to the shared context. The next agent reads that context to take action.

The integration processes teammate lists and custom application records. We isolate this entirely. The connection requires only one endpoint token, and the execution environment is strictly ephemeral.

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