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Stammer.ai MCP Server for AutoGenGive AutoGen instant access to 11 tools to Add Qa, Add Url, Create Chatbot, and more

Built by Vinkius GDPR 11 Tools Framework

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

Ask AI about this App Connector for AutoGen

The Stammer.ai app connector for AutoGen is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="stammerai_agent",
            tools=tools,
            system_message=(
                "You help users with Stammer.ai. "
                "11 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Stammer.ai
Fully ManagedVinkius Servers
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IAMAccess control
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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 Stammer.ai MCP Server

Connect your Stammer.ai account to any AI agent to automate your white-label AI agency and chatbot orchestration. Stammer.ai provides a premier platform for agencies to build and resell custom AI agents, and this integration allows you to retrieve chatbot metadata, manage knowledge bases, and track sub-account performance through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Stammer.ai tools. Connect 11 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

  • Chatbot Orchestration — List all managed chatbots and retrieve detailed profile metadata, including status and configuration programmatically.
  • Knowledge Base Lifecycle Management — Add new Q&A pairs and website URLs to your chatbots' knowledge base directly from the AI interface to ensure they are always informed.
  • Sub-Account & User Control — Access and monitor your agency's sub-accounts and user database to maintain a clear overview of your resell operations.
  • Message & Interaction Tracking — Retrieve recent chat messages and monitor conversational logs via natural language commands to ensure high-quality interactions.
  • Operational Monitoring — Check system health and manage agency metadata to ensure your white-label platform is always optimized.

The Stammer.ai MCP Server exposes 11 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Stammer.ai tools available for AutoGen

When AutoGen connects to Stammer.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning stammer-ai, white-label-ai, chatbot-builder, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_qa

Add a Q&A pair to knowledge base

add_url

Add a URL to scrape for knowledge base

create_chatbot

Create a new AI chatbot

get_chatbot

Get details for a specific chatbot

get_knowledge_base

Get the knowledge base for a chatbot

get_sub_account

Get details for a sub-account

list_chatbots

ai account. List all AI agents (chatbots)

list_knowledge_base

List knowledge base items for a chatbot

list_messages

List chat messages for a chatbot

list_sub_accounts

List all white-label sub-accounts

list_users

List all users

Connect Stammer.ai to AutoGen via MCP

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

01

Install AutoGen

Run pip install "autogen-ext[mcp]"
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration
04

Explore tools

The workbench discovers 11 tools from Stammer.ai automatically

Why Use AutoGen with the Stammer.ai MCP Server

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

01

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

02

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

03

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

04

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

Stammer.ai + AutoGen Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Stammer.ai in AutoGen

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

01

"List all active chatbots in my Stammer.ai account."

02

"Show me the performance analytics for all deployed AI chatbots with conversation metrics."

03

"Add 20 new FAQ entries to the Support Bot knowledge base from our latest help center articles."

Troubleshooting Stammer.ai MCP Server with AutoGen

Common issues when connecting Stammer.ai to AutoGen through the Vinkius, and how to resolve them.

01

McpWorkbench not found

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

Stammer.ai + AutoGen FAQ

Common questions about integrating Stammer.ai MCP Server with AutoGen.

01

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 Stammer.ai tools during their conversation turns.
02

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.
03

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.