R2R 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 R2R 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="r2r_agent",
tools=tools,
system_message=(
"You help users with R2R. "
"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 R2R MCP Server
Connect your R2R (Rag to Riches) deployment to an AI agent, bringing your RAG infrastructure inside your chat interface. By linking this server, the AI can query its own constructed knowledge base on demand.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use R2R 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
- Vector Search — Perform semantic similarity queries across your document database to retrieve contextually relevant chunks of information.
- Execute RAG Queries — Use the 'rag_query' endpoint to have the R2R server directly summarize information based on vector data.
- Knowledge Management — Call the API to list ingested documents, read metadata attributes, and filter logical collections.
- Instance Health Monitoring — Quickly ping the connection using health checks to verify your system is responsive.
The R2R 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 R2R to AutoGen via MCP
Follow these steps to integrate the R2R 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 R2R automatically
Why Use AutoGen with the R2R MCP Server
AutoGen provides unique advantages when paired with R2R through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use R2R tools to solve complex tasks
Role-based architecture lets you assign R2R 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 R2R tool calls
Code execution sandbox: AutoGen agents can write and run code that processes R2R tool responses in an isolated environment
R2R + AutoGen Use Cases
Practical scenarios where AutoGen combined with the R2R MCP Server delivers measurable value.
Collaborative analysis: one agent queries R2R while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from R2R, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using R2R data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process R2R responses in a sandboxed execution environment
R2R MCP Tools for AutoGen (6)
These 6 tools become available when you connect R2R to AutoGen via MCP:
get_document
Retrieves details for a specific document
get_health
Checks the health status of the R2R server
list_collections
Lists all document collections
list_documents
Lists all ingested documents in the R2R system
rag_query
Executes a RAG (Retrieval-Augmented Generation) query
search
Performs a vector search across ingested documents
Example Prompts for R2R in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with R2R immediately.
"Perform a vector search for 'Company Holiday Policy 2026'."
"Query the RAG engine to summarize known advanced RAG chunking strategies."
"Verify the operational health of the R2R server."
Troubleshooting R2R MCP Server with AutoGen
Common issues when connecting R2R to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"R2R + AutoGen FAQ
Common questions about integrating R2R 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 R2R with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 R2R to AutoGen
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.