How to Use the Nuclino MCP in CrewAI

Deploy autonomous research crews in CrewAI using the Nuclino MCP Server to manage your team knowledge.

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Connect Nuclino MCP to CrewAI

Create your Vinkius account to connect Nuclino 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 Nuclino with CrewAI

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Claude

Perplexity

Multi-agent research using Nuclino

Assign a research agent to browse your wiki. By using `list_items` and `search_items`, your crew can gather context from disparate workspaces. This creates a shared memory pool for your agents. One agent can find the data while another synthesizes it into a summary.

Updating knowledge bases with CrewAI

Let your specialized agents maintain your documentation. Use `update_item` to append new findings to existing pages automatically. This keeps your wiki current without manual intervention. Your crew handles the document lifecycle while you focus on high-level strategy.

Taxonomy management for teams

Understand your knowledge structure by querying field definitions. Call `list_fields` to see how your team categorizes items. Your agents use this to tag new content correctly. It ensures your workspace remains structured as your crew adds more information.

Setup guide

Set up Nuclino 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 Nuclino tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL into your agent's MCP configuration list. CrewAI will register the tools and make them available to your agents immediately.

Yes, agents share the same toolset. One agent can perform the search while another writes the update, allowing for a collaborative approach to documentation maintenance.

You can use a tool filter in your MCP configuration. This lets you restrict specific agents to read-only access while giving others the ability to create or delete items.

Vinkius provides a zero-trust environment. Your connection relies on a single endpoint token that authenticates your agents without exposing your raw credentials.

The server provides access to item titles, Markdown content, and attachment metadata. Your agents use these to process and organize your team's internal knowledge.

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