How to Use the Finch MCP in CrewAI

Q: How do I add Finch to my CrewAI agents?

You pass the server URL directly into your agent's mcps configuration. The framework handles the connection and exposes the tools to your crew.

Deploy specialized HR agent teams in CrewAI to manage payroll, directory updates, and organizational compliance autonomously.

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Connect Finch MCP to CrewAI

Create your Vinkius account to connect Finch 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 Finch with CrewAI

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Perplexity

Specialized HR agent collaboration

Assign research and action roles to different agents. One agent calls `list_supported_providers` to identify sources, while another fetches data. They share context as they work. This allows your team of agents to handle complex HR tasks without you needing to manage the sequence.

Autonomous payroll monitoring

Set a monitor agent to watch for updates. It uses `list_automated_jobs` to check status periodically and alerts the team if something goes off track. This runs in the background. Your crew acts independently until a human needs to step in to review a specific payroll statement.

Hierarchical HR execution

Delegate tasks from a manager agent to subordinates. The manager calls `get_me` to verify credentials before ordering agents to read directory info. This structure keeps your operations clean. Each agent has a specific scope of access defined by the tools it is permitted to use.

Setup guide

Set up Finch 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 Finch tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass the server URL directly into your agent's `mcps` configuration. The framework handles the connection and exposes the tools to your crew.

Yes. You can assign the server to the whole crew or specific agents. This lets you divide the work of parsing payroll data across your team.

You can use a tool filter to limit access. This ensures that only the agents responsible for payroll can actually call the payment-related tools.

The server supports multiple transports including SSE and HTTP. You pick the one that fits your deployment environment best during the setup process.

Your agent crew operates in an isolated environment. The tools only touch organization data like EINs and employment details as your agents require them.

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