How to Use the Gotify MCP in LangChain

Q: Can LangChain use Gotify to list messages?

Yes, use getmessages to pull notification history into your agent's context. This allows your chain to summarize recent system events effectively.

Chain Gotify notification logic into your LangChain agents for automated alert workflows and real-time system feedback.

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Connect Gotify MCP to LangChain

Create your Vinkius account to connect Gotify 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 Gotify with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated messaging in LangChain chains

Trigger `send_message` directly from your agent's execution path. The tool output flows into the next chain link without manual intervention. Your agent parses the response to decide if further system actions are required. It keeps your notification logic tightly coupled to your reasoning process.

Manage Gotify applications via LangChain

Use `create_application` and `update_application` to provision resources dynamically. Your agent manages the Gotify registry as part of its setup routine. It handles the full application lifecycle by calling `delete_application` when temporary notification channels are no longer needed.

Monitor server state with this MCP Server

Run `get_health` and `get_version` to verify instance availability before firing alerts. This MCP Server gives your agent the context needed to skip tasks if the backend is offline. It ensures your pipeline remains stable by checking system status before attempting any message dispatch.

Setup guide

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

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Common questions about Gotify MCP in LangChain

Install the MCP adapters and pass the tool list into your agent's registry. Once connected, your agent calls the Gotify tools by name during its reasoning loop.

Yes, use `get_messages` to pull notification history into your agent's context. This allows your chain to summarize recent system events effectively.

It depends on your session management. Use a persistent client session if you want your agent to remember specific app IDs across multiple chain executions.

The server uses the provided environment credentials. You manage the token mapping within your LangChain client setup to ensure correct authentication.

Your notification data stays within the execution memory of your agent. The system never persists message content outside of your configured Gotify instance.

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