Verba MCP Server for AutoGen 6 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Verba tools to solve complex tasks
Role-based architecture lets you assign Verba 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 Verba tool calls
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.
Collaborative analysis: one agent queries Verba while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Verba, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Verba data to make informed decisions about resource distribution
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:
add_knowledge_document
Provide the document content and optional metadata JSON. Ingests a new document into the Verba knowledge base
delete_knowledge_document
This action is irreversible. Permanently removes a document from the knowledge base
get_document_details
Retrieves the full content and metadata of a specific document
get_system_config
Retrieves the current Verba system configuration
list_knowledge_documents
Lists all documents indexed in the Verba knowledge base
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.
"Check Verba's configuration to see which embedding model it is currently using."
"Perform a RAG query asking: 'What are our key deployment steps based on the infrastructure guide?'"
"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.
McpWorkbench not found
pip install "autogen-ext[mcp]"Verba + AutoGen FAQ
Common questions about integrating Verba MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Verba with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Verba to AutoGen
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
