How to Use the Giddyup MCP in LangChain

Q: How does LangChain trace Giddyup tool execution?

Every time your agent calls a tool like updatejob, LangSmith logs the exact input parameters and response payload. This makes debugging faulty dispatch logic or API errors incredibly simple.

Run multi-step dispatch chains in LangChain to coordinate field techs, update jobs, and track invoices without manual data entry.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Giddyup MCP to LangChain

Create your Vinkius account to connect Giddyup 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.

GDPR Free for Subscribers

Setup Giddyup with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build multi-step dispatch chains in LangChain

Your LangChain agents can now use Giddyup MCP tools to check team availability and schedule jobs in a single run. The agent queries who is free using `list_users`, grabs the customer profile with `get_customer`, and immediately spins up a new ticket via `create_job` based on the workload. LangSmith traces every step of this workflow, showing you exactly how the agent decided to route the job. You get full visibility into latency and tool inputs without guessing why a technician got assigned to a specific zip code.

Automate lead triage and field dispatching

When a new lead hits your system, this MCP Server lets your agent inspect the details using `get_lead`. The agent evaluates the opportunity and immediately updates the status via `update_lead` to ensure your sales team doesn't lose the prospect. If the lead is ready for service, the agent transitions the record by calling `create_job`. This keeps your sales pipeline and field operations perfectly aligned without making dispatchers copy-paste details between platforms.

Verify system health and track invoice statuses

Keep your billing and system operations running without interruptions. Your agent can call `check_giddyup_status` to verify the connection before attempting to fetch financial records using `list_invoices`. If the connection is solid, the agent pulls the invoice history to flag outstanding balances before dispatching a tech. This prevents your team from doing work for accounts that have past-due balances.

Setup guide

Set up Giddyup 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 Giddyup 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({
    "giddyup-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 Giddyup 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 Giddyup. 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 Giddyup 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 Giddyup MCP in LangChain

Install the adapter package and initialize the client with your endpoint. Then, pass the tools from `client.get_tools()` directly to your agent constructor to let it manage field jobs.

Yes, you can use the multi-server client to combine this MCP toolset with other APIs. Your agent can query Giddyup jobs while pulling weather data or traffic routes in the same reasoning loop.

Every time your agent calls a tool like `update_job`, LangSmith logs the exact input parameters and response payload. This makes debugging faulty dispatch logic or API errors incredibly simple.

By default, the connection is stateless to keep things fast and lightweight. If your agent needs to maintain context across multiple steps, you can initialize a persistent session.

All customer details and invoice records are processed through secure, ephemeral V8 isolates. This managed MCP Server never stores your construction client databases or dispatch histories on external servers.

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