How to Use the Range MCP in LangChain

Q: Can I filter updates by specific users?

Yes. Use the listupdates tool and pass the user ID to isolate check-ins for a single developer.

Stop wasting hours on status meetings by letting LangChain agents run your async updates and track team goals.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Range MCP to LangChain

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

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Setup Range with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Chaining status updates in LangChain

This MCP Server lets your LangChain agent fetch raw check-ins with `list_updates` to pass them down a sequential reasoning chain. The output of `list_updates` flows directly into your next LangChain node without manual glue code.

Slicing through team blockers

This MCP Server isolates team blockers by letting your LangChain agent execute direct actions. When a developer flags a blocker in an update, your LangChain agent uses `get_update` to isolate the problem and matches it against goals from `list_goals` to assess the blast radius without opening the Range web app.

Linking team goals to daily work

This MCP Server tracks high-level goals by pulling live objectives directly into LangChain. Your LangChain agent pulls live progress metrics using `list_objectives` and compares them to actual daily tasks, using `get_objective` to pull details and log mismatches in your tracing dashboard.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Range. 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 Range MCP in LangChain

Install the adapter package using pip, then initialize the client with your Range endpoint. You can pull the tools directly into your LangChain agent configuration to start querying updates.

Yes, you can build a chain where one tool checks your user list and another posts a specific team update. This lets you automate multi-step status workflows.

The adapter translates server errors into standard exceptions that your chains can catch. You can inspect the exact failure point in LangSmith to see if a call to the server timed out or lacked permissions.

Yes. Use the `list_updates` tool and pass the user ID to isolate check-ins for a single developer.

Your team updates, snippets, and objective details are processed inside a secure V8 sandbox that only routes authorized payloads. No raw data is stored or cached on the gateway.

Use it with your favorite AI tools

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

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