How to Use the Exa MCP in CrewAI

Deploy specialized research crews with CrewAI. Connect this MCP Server to your agents for autonomous web exploration.

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Connect Exa MCP to CrewAI

Create your Vinkius account to connect Exa 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 Exa with CrewAI

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Claude

Perplexity

Autonomous research crews

Assign `search_recent` to a research agent and have it report back to your primary crew member. The agents collaborate to synthesize findings without your input. It works by sharing memory across the crew. Your agents stay aligned on the objective while the tools gather the facts.

Specialized neural discovery

Give your agents `search_neural` to handle conceptual research tasks. They identify patterns that keyword-based tools miss entirely. This allows your crew to tackle open-ended questions. Your agents act as a team, combining their specific roles to refine the final output.

Scale with content extraction

Use `find_similar_with_contents` to expand your agent's knowledge base during a task. It fetches context from related pages automatically. Your crew builds its own research trail. This depth of information makes your agents significantly more effective at complex operations.

Setup guide

Set up Exa 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 Exa tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL in your agent definition. The crew will automatically gain access to all registered search tools.

Yes. Shared memory allows agents to pass findings from one to another, building a coherent research report.

It does. You can restrict specific tools to specific agents using the tool filter, ensuring only the right agent performs the search.

You can provide the entire suite of 10 tools. Your agents will choose the most relevant one based on their assigned role.

The server uses a single endpoint token for authentication. It only processes text content from web pages you explicitly command the agents to visit.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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