Dotloop MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Dotloop 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="dotloop_agent",
tools=tools,
system_message=(
"You help users with Dotloop. "
"10 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 Dotloop MCP Server
Connect your AI agent to Dotloop, the leading real estate transaction management platform. This integration allows you to interact with your loops, manage participants, and oversee documents and tasks directly through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Dotloop tools. Connect 10 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
- Loop Oversight — List and retrieve detailed information for all your real estate transactions
- Participant Management — Add, list, and update profiles for buyers, sellers, and agents involved in a loop
- Document Organization — Explore folders and list metadata for all transaction documents
- Task Tracking — Monitor the status of checklists and to-do items for each deal
- Activity Auditing — Review the full activity log for any specific loop to see historical actions
- Profile Control — Access multiple profiles (personal or brokerage) associated with your account
The Dotloop MCP Server exposes 10 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 Dotloop to AutoGen via MCP
Follow these steps to integrate the Dotloop 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 10 tools from Dotloop automatically
Why Use AutoGen with the Dotloop MCP Server
AutoGen provides unique advantages when paired with Dotloop through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Dotloop tools to solve complex tasks
Role-based architecture lets you assign Dotloop 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 Dotloop tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Dotloop tool responses in an isolated environment
Dotloop + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Dotloop MCP Server delivers measurable value.
Collaborative analysis: one agent queries Dotloop while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Dotloop, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Dotloop data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Dotloop responses in a sandboxed execution environment
Dotloop MCP Tools for AutoGen (10)
These 10 tools become available when you connect Dotloop to AutoGen via MCP:
add_loop_participant
Add a new participant to a loop
get_loop_activity
Retrieve the activity log for a specific loop
get_loop_details
Get comprehensive information for a specific loop
list_folder_documents
List all documents within a specific loop folder
list_loop_folders
List all document folders within a specific loop
list_loop_participants
List all participants (buyers, sellers, agents) in a specific loop
list_loop_tasks
List all tasks and checklists for a specific loop
list_loops
List all real estate transactions (loops) for a specific profile
list_profile_contacts
List all contacts in the user directory for a specific profile
list_profiles
Retrieve all profiles (brokerages, associations, individual) associated with the user
Example Prompts for Dotloop in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Dotloop immediately.
"List all my active transaction loops."
"Show me the tasks for loop ID '78901'."
Troubleshooting Dotloop MCP Server with AutoGen
Common issues when connecting Dotloop to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Dotloop + AutoGen FAQ
Common questions about integrating Dotloop 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 Dotloop with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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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 Dotloop to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
