How to Use the Gotify MCP in LlamaIndex

Q: Can LlamaIndex agents delete Gotify messages?

Yes, the agent can invoke deletemessage or deleteallmessages based on your cleanup policies. This helps keep your index relevant and small.

Index your Gotify notification history into LlamaIndex for searchable knowledge bases and grounded AI responses.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Gotify MCP to LlamaIndex

Create your Vinkius account to connect Gotify to LlamaIndex 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 Gotify with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index Gotify messages with LlamaIndex

Fetch historical alerts using `get_messages` and pipe them into your vector store. Your index now understands past system incidents as semantic data. This turns raw notification logs into a searchable knowledge base. You can query past alerts using natural language instead of filtering by ID.

Manage Gotify clients through LlamaIndex

Use `get_clients` and `create_client` to audit and add access points. The agent maintains a view of your connected infrastructure within the index. It updates the client registry automatically based on your RAG pipeline's requirements. This keeps your access control logic in sync with your data.

Verify Gotify infrastructure via MCP Server

Execute `get_health` to validate your notification backend before running RAG queries. This MCP Server provides the diagnostic data your agent needs to trust its context. It prevents the indexing of stale or incomplete data by confirming server readiness. Your agent only processes valid, current information.

Setup guide

Set up Gotify MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Gotify MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Gotify tools.",
)
response = await agent.run("List recent Gotify data")

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 Gotify. 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 Gotify 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 Gotify MCP in LlamaIndex

Use the MCP tool spec to pull data and pass it to your indexer. LlamaIndex then converts the message strings into searchable vector embeddings.

Yes, the agent can invoke `delete_message` or `delete_all_messages` based on your cleanup policies. This helps keep your index relevant and small.

No, because the agent relies on live tool calls. It queries the actual Gotify API to ground its answers in real-time notification data.

You pass the required environment variables to the client spec. The server uses these to authenticate every request made by your agent.

Data access is restricted to the tools you expose. Only authorized agents can retrieve or process your message payloads through the server connection.

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