Gotify MCP Server for AutoGenGive AutoGen instant access to 22 tools to Change Password, Create Application, Create Client, and more

Name: Gotify
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Gotify as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Ask AI about this MCP Server for AutoGen

Open in ChatGPT Open in Claude Open in Perplexity

The Gotify MCP Server for AutoGen is a standout in the Communication Messaging category — giving your AI agent 22 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="gotify_agent",
            tools=tools,
            system_message=(
                "You help users with Gotify. "
                "22 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Gotify MCP Server

Connect your Gotify instance to any AI agent to streamline your notification workflows. Gotify is a self-hosted notification server, and this MCP server allows you to interact with its API using natural language.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Gotify tools. Connect 22 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Messaging — Send push notifications with custom priorities and titles, or retrieve and delete existing messages from your stream.
Application Management — Create, list, update, or delete Gotify applications to organize your notification sources and tokens.
Client Control — Manage clients and tokens to authorize different devices or services to receive messages.
User Administration — (Admin only) List or create users to manage access to your private Gotify instance.

update

Update application on Gotify

Update an application

update

Update client on Gotify

Update a client

update

Update plugin config on Gotify

Update plugin configuration

Connect Gotify to AutoGen via MCP

Follow these steps to wire Gotify into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 22 tools from Gotify automatically

Why Use AutoGen with the Gotify MCP Server

AutoGen provides unique advantages when paired with Gotify through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Gotify tools to solve complex tasks

Role-based architecture lets you assign Gotify tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Gotify tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Gotify tool responses in an isolated environment

Gotify + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Gotify MCP Server delivers measurable value.

Collaborative analysis: one agent queries Gotify while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Gotify, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Gotify data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Gotify responses in a sandboxed execution environment

Example Prompts for Gotify in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Gotify immediately.

"Send a high-priority Gotify message titled 'System Alert' saying 'Disk space is low on Server A'."

"List all my current Gotify applications and their descriptions."

"Get the last 5 messages from my Gotify server."

Troubleshooting Gotify MCP Server with AutoGen

Common issues when connecting Gotify to AutoGen through Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Gotify + AutoGen FAQ

Common questions about integrating Gotify MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Gotify tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Explore More MCP Servers

View all →

Afterpay

5 tools

Buy Now, Pay Later orchestration — manage checkouts, payments, and refunds via AI.

Tencent TRTC

11 tools

Bring Tencent's Dominant Real-Time Communications Engine to your AI workflow. Manage rooms, cloud recordings, and call metrics.

Deterministic Global Postal Formatter

1 tools

Transform your AI into a CRM data powerhouse. Automatically validate, clean, and strictly format international postal codes (BR, US, UK, CA) via regex execution.

StackHawk

10 tools

Connect your AI to the StackHawk DAST platform. Run automated security scans, triage alerts seamlessly, and find vulnerabilities effortlessly.