How to Use the BrightMove MCP in CrewAI

Q: Can I restrict which BrightMove tools my CrewAI crew uses?

Use the toolfilter option to specify exactly which functions each agent can access. This limits the scope of your agents to only what they need.

Deploy a specialized recruitment crew in CrewAI using the BrightMove MCP Server to automate your hiring operations.

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…and any MCP-compatible client

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Connect BrightMove MCP to CrewAI

Create your Vinkius account to connect BrightMove 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 BrightMove with CrewAI

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Autonomous hiring crews for CrewAI

Assign `list_applicants` to a research agent in your crew. The agent compiles candidate lists while other agents analyze their fit for open roles. This creates a division of labor within your team. One agent monitors the pipeline while another takes action on qualified candidates.

Unified placement tracking

Utilize `list_placements` so your moderator agent keeps track of filled roles. It updates your records as soon as a match occurs. Your crew stays synced by sharing memory of these placements. You get an autonomous system that manages the end-to-end status of your hiring goals.

Retrieve company details for CrewAI agents

Provide `get_company_info` to your agents to ensure they understand your internal requirements. They reference this data before filtering new applicants. This context helps your agents make decisions that align with your company standards. It prevents irrelevant candidates from reaching your hiring managers.

Setup guide

Set up BrightMove 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 BrightMove tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL directly into your agent definition. This gives your crew immediate access to the entire suite of hiring tools.

Use the `tool_filter` option to specify exactly which functions each agent can access. This limits the scope of your agents to only what they need.

The agents utilize shared memory to track the state of your pipeline. When one agent retrieves applicant info, the rest of the crew sees the update.

You can structure your crew to follow a lead agent. The lead agent calls the tools and delegates tasks to the sub-agents based on the data returned.

We enforce strict zero-trust access for every agent interaction. Your reference lists are processed within a hardened, ephemeral environment that clears immediately after the task finishes.

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