How to Use the LiftedWork MCP in LangChain

Chain your agency data through LangChain agents to automate project tracking and client management without manual oversight.

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Connect LiftedWork MCP to LangChain

Create your Vinkius account to connect LiftedWork 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 LiftedWork with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Sequence agency operations with LangChain

You can now link tool calls directly into your agent's chain. When an agent triggers `create_project`, the output feeds immediately into `create_task` to ensure your workflow stays connected. This setup allows your agent to decide the execution order. It handles the dependencies between your client list and active project requirements automatically.

Observe tool execution in LangSmith

Every interaction with the LiftedWork MCP server generates precise telemetry. You get full visibility into the latency and data payloads for every `list_time_entries` call. Developers track how the agent interprets agency data. You see exactly what inputs were sent and what records were returned during each step of the chain.

Connect disparate agency data sources

LangChain lets you combine this MCP server with your existing vector stores. You can pull data using `list_projects` and feed it into a local database for deeper analysis. This creates a unified pipeline for your agency. You move data between tools and external APIs without writing custom glue code for every request.

Setup guide

Set up LiftedWork 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 LiftedWork 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({
    "liftedwork-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 LiftedWork transactions"
    })
    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 LiftedWork. 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

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Common questions about LiftedWork MCP in LangChain

Install the MCP adapters and point the client to your endpoint. You then pass the tools to your agent to begin executing tasks against your workspace.

Yes. Since LangChain supports chaining, your agent can call `list_clients` to find a record and immediately use that ID to execute `create_project`.

The server remains stateless by default. You should use a session client if you need to maintain context across a long-running chain.

The server returns raw JSON directly from your database. You get exactly what is stored without any intermediate processing or filtering.

All requests are scoped to your specific endpoint token. We handle authentication at the gateway, ensuring only your agent accesses your project and time entry records.

Use it with your favorite AI tools

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

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