How to Use the Infinity Work Manager MCP in LangChain

Build automated reasoning pipelines with Infinity Work Manager and LangChain to sync project states without manual intervention.

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Connect Infinity Work Manager MCP to LangChain

Create your Vinkius account to connect Infinity Work Manager to LangChain 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 Infinity Work Manager with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain tool calls for complex board logic

Feed output from `list_boards` directly into `get_board` to map workspace hierarchies. LangChain agents parse these results to determine the next step in your sequence. Automate status updates by chaining `list_items` outputs into `update_item` logic. This reduces manual tracking by passing data through your defined LangGraph nodes.

Monitor Infinity Work Manager tool latency

Track every tool invocation through LangSmith to identify bottlenecks in your execution chain. Each call to `create_item` or `create_comment` is logged with exact timestamps and payload sizes. Debug your agent's reasoning process by inspecting the raw JSON returned from `list_attributes`. You get full visibility into how the model interprets your project schema.

Stateful MCP Server interaction

Use client.session() to maintain context across multiple agent turns within your LangChain workflow. This keeps your connection to Infinity Work Manager stable during long-running tasks. Handle multi-server requests by aggregating this MCP Server with your other tools. You can query your database and update project items in a single orchestrated chain.

Setup guide

Set up Infinity Work Manager MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Infinity Work Manager tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "infinity-work-manager-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Infinity Work Manager transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Infinity Work Manager MCP in LangChain

Install the required adapters via pip. Initialize the MultiServerMCPClient with your endpoint URL, call get_tools, and inject them into your agent definition.

Yes. You can manage state by passing the client session to your graph nodes. This ensures the agent remembers which board or item it is currently modifying.

You should implement custom retry logic within your LangChain tool nodes. The server executes requests as fast as the client sends them, so manage your polling frequency accordingly.

The server provides access to workspaces, boards, items, and comments. Your agents receive the exact JSON payloads defined in the API schema.

All data stays between your local environment and the Infinity API. Your credentials are used only to authorize requests through the secure MCP tunnel.

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