How to Use the Craft (Docs & Notes) MCP in CrewAI

Q: How do I restrict which Craft (Docs & Notes) tools my CrewAI agents can use?

Use the MCPServerHTTP class from crewai.mcp and define a toolfilter. This lets you expose safe tools like listdocuments while blocking destructive ones like deletedocument on the MCP Server side.

Q: Does this server support standard Python environments?

Yes, you just need to install crewai and crewaitools via pip. The integration runs natively over HTTP or SSE, requiring no special system-level dependencies.

Coordinate teams of autonomous CrewAI agents to research, write, and organize documents inside your Craft workspace.

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Connect Craft (Docs & Notes) MCP to CrewAI

Create your Vinkius account to connect Craft (Docs & Notes) 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 Craft (Docs & Notes) with CrewAI

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Perplexity

Collaborative workspace research with CrewAI

Finding information across hundreds of pages relies on `search_documents` to execute text queries across your Craft workspace. A specialized research agent in your CrewAI team can run this search to gather context before passing findings to other agents. Once the relevant files are identified, the agent uses `get_document` to pull the raw text blocks. This shared memory setup allows the rest of your crew to analyze the data without repeating the search.

Multi-agent task tracking via this MCP Server

Managing active projects requires the `list_tasks` tool to collect checklists from various documents in your Craft workspace. This MCP Server exposes these task arrays so your manager agent can monitor progress and delegate outstanding items to specific sub-agents. As those sub-agents complete their work, they call `update_document` to check off the completed tasks. This sequential execution ensures your project status is updated in real time without human intervention.

Autonomous document drafting and formatting

Writing structured meeting summaries uses `create_document` to generate new pages with a defined JSON payload. Your writer agent generates the content, while an editor agent formats the layout using `append_block`. This collaborative pipeline ensures that every document added to your Craft workspace matches your team's style guide. The entire process runs autonomously, leaving your team with polished notes ready for review.

Setup guide

Set up Craft (Docs & Notes) 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 Craft (Docs & Notes) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Craft (Docs & Notes) 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 Craft. 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 Craft (Docs & Notes) MCP in CrewAI

Yes, your agents share the same MCP client instance. While one agent uses `search_documents` to find context, another can use `append_block` to write updates to a completely different document.

Use the `MCPServerHTTP` class from `crewai.mcp` and define a `tool_filter`. This lets you expose safe tools like `list_documents` while blocking destructive ones like `delete_document` on the MCP Server side.

You can pass your Vinkius HTTP endpoint URL directly into the agent's `mcps` array during initialization. The CrewAI framework handles the connection and exposes the MCP tools to the agent automatically.

Yes, you just need to install `crewai` and `crewai[tools]` via pip. The integration runs natively over HTTP or SSE, requiring no special system-level dependencies.

All interactions with your Craft documents, blocks, and checklists are routed through single-use, sandboxed execution environments. Your credentials and workspace content are never cached, keeping your private data secure.

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