How to Use the Time MS Converter MCP in AutoGen

Q: How do I configure Time MS Converter for AutoGen?

Install autogen-ext. Use mcpservertools with the HTTP parameters and pass the list to your assistant agent.

Give your AutoGen agents a strict mathematical calculator for time conversions. Stop the hallucination debates.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Time MS Converter MCP to AutoGen

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

GDPR Included with Plan

Setup Time MS Converter with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

End math arguments in AutoGen

Multiple agents debating a schedule will inevitably screw up the math. The `convert_time` tool gives them a single, deterministic answer for any duration string. One agent wants to set a timeout for "1.5h". Instead of letting the performance agent guess the millisecond value, they call the server. You get 5,400,000 ms every time.

Two-way translation for raw data

Sometimes the database agent returns a raw millisecond integer. Pass that integer as a string, and the server returns the human-readable format. Now your reporting agent can actually read the duration without hallucinating the conversion. It handles days, hours, minutes, and seconds.

Consensus-driven scheduling

You build systems where precision matters. A security agent flagging a token expiration needs exact numbers, not approximations. This MCP server connects via the streamable HTTP transport. The adapter handles the schema automatically. No more broken cron jobs.

Setup guide

Set up Time MS Converter MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Time MS Converter tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Time MS Converter_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Time MS Converter data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Time MS Converter_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Time MS Converter data")
    print(result.messages[-1].content)

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Time MS Converter now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Time MS Converter MCP in AutoGen

Install autogen-ext. Use mcp_server_tools with the HTTP parameters and pass the list to your assistant agent.

Probabilistic models are terrible at arithmetic. This forces exact millisecond conversions for DevOps scheduling.

Yes. Send a raw millisecond integer as a string. It returns "2 days" or whatever the exact math dictates.

Yes. The MCP architecture handles concurrent requests from any agent in your conversational loop.

It strictly processes time strings and integers. No external API calls happen, meaning your duration data never leaves your local MCP protocol sandbox.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript