How to Use the Time MS Converter MCP in CrewAI

Q: How do I add Time MS Converter to a CrewAI agent?

Install crewaitools and add the Vinkius URL to the agent's mcps parameter. The agent will discover the parsing tool automatically.

Q: Can I restrict Time MS Converter to specific CrewAI roles?

Yes. Use the toolfilter parameter in MCPServerHTTP to expose the parser only to your dedicated scheduling or DevOps agent.

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Connect Time MS Converter MCP to CrewAI

Create your Vinkius account to connect Time MS Converter to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Time MS Converter with CrewAI

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Autonomous agent math correction

The `convert_time` tool takes human-readable durations and hands your CrewAI agents the exact millisecond integer. When your DevOps agent writes a deployment script, it cannot rely on probabilistic math. If an agent guesses the conversion for "three weeks", it will eventually get it wrong and crash a production server. This forces your crew to use a deterministic parser.

Two-way time translation

Your monitoring agent reads logs in milliseconds. Your reporting agent needs to write summaries in plain English. Pass the raw integer to the server and get a clean duration string back. This keeps your hierarchical execution smooth. Agents trade exact integers under the hood while generating readable reports for the human operators watching the session.

Direct MCP Server integration

Pass the Vinkius endpoint directly into your agent's mcps array. CrewAI connects via HTTP and exposes the conversion logic to that specific agent automatically. For tighter control, import MCPServerHTTP and use a tool_filter. This lets you restrict the conversion capability to just the scheduling agent, keeping the rest of your crew focused on their specific roles.

Setup guide

Set up Time MS Converter 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 Time MS Converter tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Time MS Converter transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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="Time MS Converter Analyst",
        goal="Access and analyze Time MS Converter data via MCP.",
        backstory="Expert analyst with direct Time MS Converter access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Time MS Converter 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 Vercel MS. 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 Time MS Converter MCP in CrewAI

Install crewai[tools] and add the Vinkius URL to the agent's mcps parameter. The agent will discover the parsing tool automatically.

Language models fail at arithmetic. If your crew manages infrastructure timeouts, relying on native LLM math will cause catastrophic scheduling errors.

Yes. Use the tool_filter parameter in MCPServerHTTP to expose the parser only to your dedicated scheduling or DevOps agent.

Yes. Agents can pass a raw millisecond integer as a string and receive a human-readable format like "2 days" in return.

No. The server only sees isolated time variables. Every request runs in an isolated V8 sandbox that vaporizes immediately after returning the result.

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