How to Use the Infinity MCP in LangChain

Q: Is it possible to list board items using Infinity in LangChain?

You can absolutely use listboarditems to pull task lists. This allows your agent to process your current backlog and make informed decisions.

Build complex task chains in LangChain by plugging the Infinity MCP Server directly into your agentic reasoning pipelines.

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Connect Infinity MCP to LangChain

Create your Vinkius account to connect Infinity 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 with LangChain

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Claude

Perplexity

Automate board item flows in LangChain

Chain your logic by using `create_board_item` to push data from external sources directly into your Infinity boards. Your agent handles the attribute mapping, ensuring your project data stays consistent. This setup lets your LangChain agents decide exactly when to trigger updates based on incoming triggers. It removes manual entry from your project management routine.

Manage workspace visibility with MCP Server tools

Use `list_workspaces` and `list_workspace_boards` to give your LangChain agent a map of your entire organization. It can then traverse these boards to find the right context for any request. Once the agent identifies the correct board, it uses `list_board_items` to pull the current state. This gives your agent the raw data it needs to reason about your project status.

Sync task updates across your infrastructure

Keep your project state current by calling `update_board_item` inside your LangChain chains. When a task completes in your code, the board reflects that change immediately. This creates a tight loop between your development work and your planning tools. Your agents handle the state management so you don't have to keep switching tabs.

Setup guide

Set up Infinity 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 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-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 transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Infinity MCP in LangChain

Yes. It works by exposing tools that your agent calls as part of its standard execution flow. You just register the server and let the agent handle the tool calls.

The server returns structured data from your boards directly to your chain. You can then pipe that output into other tools or databases.

You can absolutely use `list_board_items` to pull task lists. This allows your agent to process your current backlog and make informed decisions.

It does. You can aggregate it with other tools in your LangChain environment to build complex, multi-source agents.

Your API tokens handle authentication for every request. The server interacts only with the specific workspaces you authorize through your endpoint credentials.

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