GroundX MCP Server for AutoGenGive AutoGen instant access to 12 tools to Create Bucket, Create Group, Get Customer Info, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add GroundX 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 GroundX app connector for AutoGen is a standout in the Knowledge Management category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="groundx_agent",
tools=tools,
system_message=(
"You help users with GroundX. "
"12 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 GroundX MCP Server
The GroundX MCP server enables your AI agent to search across enterprise data stores and manage RAG (Retrieval-Augmented Generation) pipelines, retrieving highly relevant document chunks seamlessly.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use GroundX tools. Connect 12 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.
The GroundX MCP Server exposes 12 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 12 GroundX tools available for AutoGen
When AutoGen connects to GroundX through Vinkius, your AI agent gets direct access to every tool listed below — spanning rag-as-a-service, data-search, document-retrieval, 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.
Create a new bucket
Create a new group
Retrieve account and customer details
Check the processing status of an ingestion task
Ingest documents into GroundX from URLs or local paths
Crawl and ingest content from a website URL
List all buckets (containers for documents)
List all ingested documents
List all groups (aggregations of buckets)
List all RAG workflows
Perform semantic search across all content
Search for specific documents based on metadata or content
Connect GroundX to AutoGen via MCP
Follow these steps to wire GroundX into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the GroundX MCP Server
AutoGen provides unique advantages when paired with GroundX through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use GroundX tools to solve complex tasks
Role-based architecture lets you assign GroundX 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 GroundX tool calls
Code execution sandbox: AutoGen agents can write and run code that processes GroundX tool responses in an isolated environment
GroundX + AutoGen Use Cases
Practical scenarios where AutoGen combined with the GroundX MCP Server delivers measurable value.
Collaborative analysis: one agent queries GroundX while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from GroundX, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using GroundX data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process GroundX responses in a sandboxed execution environment
Example Prompts for GroundX in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with GroundX immediately.
"List all my GroundX data buckets."
"Search for 'refund policy' in bucket 102."
"Check the document count in bucket 101."
Troubleshooting GroundX MCP Server with AutoGen
Common issues when connecting GroundX to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"GroundX + AutoGen FAQ
Common questions about integrating GroundX MCP Server with AutoGen.