How to Use the Manatal MCP in CrewAI

Q: How do I assign Manatal tools to specific agents in CrewAI?

Pass your Vinkius server URL to the mcps parameter of individual agents. This lets you give the CrewAI researcher agent access to listcandidates while restricting the admin agent to listapplications.

Q: Can CrewAI agents collaborate on analyzing Manatal jobs?

Yes. One CrewAI agent can call listjobs to find open positions, while another CrewAI agent uses getjob to extract requirements, sharing the findings through CrewAI's memory layer.

Q: How do I limit which tools from the MCP Server my CrewAI agents can execute?

Use the MCPServerHTTP class with a toolfilter to only expose read-only tools like listdepartments to your CrewAI agents and block write-heavy operations.

Deploy specialized AI agent crews to screen candidates and manage Manatal pipelines autonomously in CrewAI.

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Connect Manatal MCP to CrewAI

Create your Vinkius account to connect Manatal 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 Manatal with CrewAI

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Coordinate multi-agent candidate screening in CrewAI

The `list_candidates` tool feeds raw applicant profiles to your CrewAI research agent for initial screening. Once the researcher finishes, a second CrewAI analyst agent calls `get_candidate` to verify specific qualifications and credentials inside Manatal. This collaborative CrewAI setup allows specialized agents to pass Manatal candidate data back and forth using shared memory. Your recruiters get highly detailed summaries without reading hundreds of Manatal resumes manually, saving hours they'd normally waste.

Audit hiring pipelines with this MCP Server

The `list_applications` tool exposes the state of every hiring pipeline to your CrewAI monitoring agents. Active monitoring allows the CrewAI moderator agent to use this Manatal data to flag stalled applications and coordinate follow-ups. By calling `get_application`, your CrewAI agents analyze feedback history to see why a candidate is stuck in Manatal. This MCP Server lets your autonomous crew run continuous pipeline audits, keeping your recruitment operations clean.

Map organizational structures across active jobs

The `list_organizations` tool allows your CrewAI agent crew to map out client or internal company structures in Manatal. CrewAI agents combine this with `list_departments` to understand exactly where new hires fit within the enterprise hierarchy. When a new requisition opens, CrewAI agents use `list_jobs` and `get_job` to match roles against existing Manatal team structures. This automated mapping ensures your sourcing crew targets the right departments and hiring managers from day one.

Setup guide

Set up Manatal 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 Manatal tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your Vinkius server URL to the `mcps` parameter of individual agents. This lets you give the CrewAI researcher agent access to `list_candidates` while restricting the admin agent to `list_applications`.

Yes. One CrewAI agent can call `list_jobs` to find open positions, while another CrewAI agent uses `get_job` to extract requirements, sharing the findings through CrewAI's memory layer.

CrewAI automatically connects via SSE or Streamable HTTP. You only need to provide the Vinkius endpoint token in your CrewAI agent configuration to start querying the Manatal ATS.

Use the `MCPServerHTTP` class with a `tool_filter` to only expose read-only tools like `list_departments` to your CrewAI agents and block write-heavy operations.

The raw candidate profiles and application records fetched via `get_candidate` flow directly to your local runtime. Vinkius secures the transport layer, ensuring no applicant data remains on external servers.

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