How to Use the Craft.io MCP in CrewAI

Q: How do I pass Craft.io MCP Server tools to a CrewAI agent?

You pass your Vinkius HTTP URL directly into the agent's mcps list during initialization. This instantly grants that specific agent access to tools like listworkspaces without complex boilerplate.

Q: How do I restrict which CrewAI agents edit my Craft.io items via MCP?

Use MCPServerHTTP from crewai.mcp and apply a tool filter. This lets your research agent use getcompany while restricting creative tools like createitem to your manager agent.

Q: How secure is my competitor news and financial data within CrewAI when using MCP?

Your competitor intelligence and news feeds fetched via getcompanynews run through end-to-end encrypted TLS channels. The Vinkius gateway acts as a zero-knowledge proxy, ensuring your competitive research data is never stored, logged, or used for model training.

Run autonomous product management crews using CrewAI and Craft.io data.

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Connect Craft.io MCP to CrewAI

Create your Vinkius account to connect Craft.io 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.io with CrewAI

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Specialized product research teams using CrewAI

The `search_companies` and `get_company_news` tools give your research agents the exact data they need to analyze the market. Deploy a team of agents where one researches the market and another updates your backlog. Once the research is done, the agent hands the findings to a product manager agent. That agent uses `create_item` to draft new feature ideas directly into your workspace.

Autonomous portfolio auditing with MCP Server tools

The `list_portfolios` and `list_items` tools allow your auditing agents to map out active roadmaps autonomously. Let a crew audit your product roadmap without human supervision. If the monitoring agent finds a gap or an outdated item, it tasks an execution agent to run `get_item` for a deeper look. The entire process runs in the background, keeping your roadmaps clean.

Competitive intelligence loops for product teams

The `get_company_competitors` and `get_company_financials` tools provide the raw fuel for your competitive analysis agents. Keep your product strategy updated with fresh competitive data. It compiles these insights and updates your company profile workspace. By using the shared memory of CrewAI, subsequent agents use this MCP context when mapping out new product goals.

Setup guide

Set up Craft.io 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.io tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass your Vinkius HTTP URL directly into the agent's `mcps` list during initialization. This instantly grants that specific agent access to tools like `list_workspaces` without complex boilerplate.

Use `MCPServerHTTP` from `crewai.mcp` and apply a tool filter. This lets your research agent use `get_company` while restricting creative tools like `create_item` to your manager agent.

CrewAI uses sequential or hierarchical execution. The researcher agent first runs `get_company_news`, passes the text output to the planner, and the planner agent calls `create_item` to update your workspace.

Yes, the framework supports stdio, SSE, and Streamable HTTP. You can test your agents locally using stdio before deploying them to run against the Vinkius managed endpoint.

Your competitor intelligence and news feeds fetched via `get_company_news` run through end-to-end encrypted TLS channels. The Vinkius gateway acts as a zero-knowledge proxy, ensuring your competitive research data is never stored, logged, or used for model training.

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