How to Use the Fixably MCP in AutoGen
Deploy specialized AutoGen agents to debate repair priorities and coordinate inventory moves.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Fixably MCP to AutoGen
Create your Vinkius account to connect Fixably 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.
Resolve inventory discrepancies through multi-agent debate
The `list_stock_products` tool provides the raw inventory data that your AutoGen agents analyze during automated stock checks. A dedicated logistics agent can compare these numbers against open tickets to spot potential parts shortages before they delay repairs. If a shortage is detected, a purchasing agent and a service manager agent debate whether to reorder or transfer stock using `change_internal_location`. They negotiate the best warehouse source and update the system only after reaching a consensus.
Coordinate order updates using specialized AutoGen roles
The `update_order` tool lets your coordinator agent modify ticket statuses once the team reaches a decision. In an AutoGen group chat, a quality control agent can block status changes until a technician agent confirms the fix. This MCP Server enables back-and-forth validation before any data changes. The agents discuss the repair details fetched via `get_order`, verify the customer's SLA, and execute the final update only when all agent constraints are satisfied.
Automate customer intake triage with this MCP Server
The `create_order` tool registers new hardware repair jobs directly from your customer intake channels. Your AutoGen triage agents analyze incoming requests, debate the severity, and assign the correct initial status. Before finalizing the ticket, a customer-lookup agent runs `get_customer` to verify warranty status. Once the agents agree on the priority level, they call the tool to spin up the order and log the debate history in the internal notes.
Set up Fixably 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 Fixably 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="Fixably_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Fixably 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="Fixably_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Fixably 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 Fixably. 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 Fixably MCP in AutoGen
Use it with your favorite AI tools
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