How to Use the Albi Restoration MCP in AutoGen
Let your AutoGen agents debate and coordinate Albi Restoration project schedules and financials automatically.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Albi Restoration MCP to AutoGen
Create your Vinkius account to connect Albi Restoration to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Coordinate Albi Restoration tasks with AutoGen
Let specialized AutoGen agents handle different parts of your restoration business. An estimator agent can run `get_project_financial_kpis` to analyze margins, while a project manager agent checks `list_project_activities` to see if milestones are being met. The AutoGen agents debate the best course of action before committing changes to Albi Restoration. For instance, they can negotiate resource allocation before calling `create_new_restoration_project` to kick off a new job.
Manage equipment using AutoGen and MCP
Avoid scheduling conflicts on Albi Restoration job sites. Your logistics agent can call `list_inventory_equipment` to verify where blowers and dehumidifiers are currently deployed. If equipment is scarce, the AutoGen agents deliberate on which project takes priority based on roles retrieved from `list_defined_project_roles`. This consensus-driven approach prevents double-booking without human intervention.
Sync organizational data using AutoGen agents
Keep your external systems in sync automatically. Using this MCP Server, one AutoGen agent can monitor active webhooks using `list_configured_webhooks`, while another processes incoming organizational updates via `list_restoration_organizations`. When a new organization is recognized, the AutoGen agent can automatically trigger `create_new_contact` to add key personnel. The entire Albi Restoration workflow is managed through agent-to-agent negotiation, ensuring data is validated before entry.
Set up Albi Restoration MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Albi Restoration tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Albi Restoration_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Albi Restoration data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Albi Restoration_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Albi Restoration data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Albi. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Albi Restoration MCP in AutoGen
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