2,500+ MCP servers ready to use
Vinkius

Verba MCP Server for AutoGen 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools Framework

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

Vinkius supports streamable HTTP and SSE.

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="verba_agent",
            tools=tools,
            system_message=(
                "You help users with Verba. "
                "6 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Verba
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 Verba MCP Server

Intertwine the open-source Verba (by Weaviate) ecosystem natively into your conversational AI IDE. Execute powerful Retrieval-Augmented Generation processes and manage your localized knowledge bases simply by chatting.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Verba tools. Connect 6 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

  • Augmented Queries — Cast a question to your agent and have it retrieve fully synthesized answers from the Verba engine completely backed up by exact document citations.
  • Knowledge Management — Insert new context text, list all ingested documents, retrieve the deeply embedded raw data of any ID, or remove dead knowledge dynamically without Web UIs.
  • Health Checks — Request system configurations directly via chat to ensure your local LLM connections, embedding models, and cluster health are firing effectively.

The Verba MCP Server exposes 6 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.

How to Connect Verba to AutoGen via MCP

Follow these steps to integrate the Verba MCP Server with AutoGen.

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 6 tools from Verba automatically

Why Use AutoGen with the Verba MCP Server

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

01

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

02

Role-based architecture lets you assign Verba 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 Verba tool calls

04

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

Verba + AutoGen Use Cases

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

01

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

02

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

03

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

04

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

Verba MCP Tools for AutoGen (6)

These 6 tools become available when you connect Verba to AutoGen via MCP:

01

add_knowledge_document

Provide the document content and optional metadata JSON. Ingests a new document into the Verba knowledge base

02

delete_knowledge_document

This action is irreversible. Permanently removes a document from the knowledge base

03

get_document_details

Retrieves the full content and metadata of a specific document

04

get_system_config

Retrieves the current Verba system configuration

05

list_knowledge_documents

Lists all documents indexed in the Verba knowledge base

06

perform_rag_query

Returns summarized answers with citations. Executes a RAG (Retrieval Augmented Generation) query against the Verba knowledge base

Example Prompts for Verba in AutoGen

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

01

"Check Verba's configuration to see which embedding model it is currently using."

02

"Perform a RAG query asking: 'What are our key deployment steps based on the infrastructure guide?'"

03

"List all documents and output the unique ID of the 'Employee Code of Conduct' file."

Troubleshooting Verba MCP Server with AutoGen

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

01

McpWorkbench not found

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

Verba + AutoGen FAQ

Common questions about integrating Verba 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 Verba 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.

Connect Verba to AutoGen

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.