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How to Use the Tray.io MCP in LangChain

Build multi-step automations with LangChain: Orchestrate complex actions using Tray.io's data.

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Works with every AI agent you already use

…and any MCP-compatible client

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LangChain

Connect Tray.io MCP to LangChain

Create your Vinkius account to connect Tray.io 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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Discovering available workflows and integrations.

The `list_workflows` tool lets your agent see every automation running in the account. You can quickly check what automations exist before trying to modify them. The `list_integration_solutions` tool gives a rundown of all pre-built integration templates. This is useful for understanding which connection types are ready to go.

Monitoring data execution flows.

Need to know if a workflow actually ran? Use `list_workflow_executions` to pull recent history for any specific process. You get details on when it started and what the results were. The agent can also check the status of an entire operation using `get_workflow_details`. This lets your AI client track down exactly where a run got stuck.

Identifying connected services.

The `list_available_connectors` tool shows every service that can plug into Tray.io, like Salesforce or Slack. Your agent uses this to validate which systems are actually available for the job. Furthermore, `get_authenticated_user` retrieves details about the current user. This lets your agent know who's running the automation and what their permissions are.

Setup guide

Set up Tray.io MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Tray.io tool calls through the MCP protocol.

  4. 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({
    "trayio-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 Tray.io transactions"
    })
    print(result["messages"][-1].content)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tray.io. 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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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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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 Tray.io MCP in LangChain

The MCP Server makes every tool call a step your agent can reason about. The output from one tool (say, fetching user data) automatically becomes the input for the next tool (like updating a record). This allows for complex, chained actions.
If you need your agent to verify if an existing automation is running or needs adjusting, use the `list_workflow_executions` tool. This gives immediate data on recent runs and helps prevent calling a broken process.
Yes. The `list_available_connectors` tool provides an inventory of every service connector, such as Slack or Salesforce. Your agent uses this to confirm the operational scope before writing a new automation.
Absolutely. The `list_workflows` tool lists every single workflow in your account. This lets your agent build an initial map of the entire operational landscape within Tray.io.
This server touches user identity and account configuration data, specifically retrieving details for the currently authenticated user via `get_authenticated_user`.

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