How to Use the Indeed MCP in CrewAI

Deploy a crew of specialized AI agents to scan and analyze Indeed listings using CrewAI and MCP.

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Connect Indeed MCP to CrewAI

Create your Vinkius account to connect Indeed 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 Indeed with CrewAI

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CrewAI Agents Collaborate on Indeed Searches

The `search_jobs` tool lets your CrewAI research agent scan Indeed while your analysis agent filters the matching roles. Instead of one agent doing everything, you split the labor so your crew finds better job matches faster. The Indeed MCP Server provides the raw listings, and CrewAI's shared memory lets all agents in the crew access the data instantly.

Autonomous Job Matching with CrewAI and MCP

Run the `search_jobs` tool autonomously across your CrewAI teams to monitor specific industries on Indeed. You can assign a monitor agent to pull listings and an escalation agent to flag high-priority postings. This multi-agent setup uses the Indeed MCP Server to feed continuous data into your autonomous operations without human intervention.

Custom Tool Filtering for CrewAI Agents

You can expose the `search_jobs` tool only to specific agents in your crew using CrewAI's advanced HTTP setup. This prevents your writing agents from wasting API calls on Indeed while keeping your research agents focused on sourcing. Restricting tool access keeps your CrewAI execution clean and ensures the Indeed MCP Server is only queried when necessary.

Setup guide

Set up Indeed 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 Indeed tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the Vinkius URL directly in your CrewAI Agent definition using the `mcps` parameter. This immediately gives that specific agent access to the `search_jobs` tool.

Yes. CrewAI manages tool access across your entire crew, allowing different agents to query the Indeed MCP Server using `search_jobs` based on their assigned tasks.

Yes. CrewAI supports SSE, stdio, and Streamable HTTP transports, allowing your agents to communicate with the Indeed server over whatever protocol you configure.

Use the MCPServerHTTP class from CrewAI to apply a tool filter. This lets you restrict the `search_jobs` tool so only your designated sourcing agent can use it.

All search parameters and returned job application links pass through encrypted, transient connections. The Indeed MCP Server runs in a secure, ephemeral environment that wipes all session memory the moment your CrewAI execution ends.

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