How to Use the Accela MCP in AutoGen
Deploy AutoGen agents that debate permit details and verify Accela inspection records before approving municipal workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Accela MCP to AutoGen
Create your Vinkius account to connect Accela 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 multi-agent reviews of civic permit records
With the `get_record` tool enabled on this Accela MCP Server, your AutoGen agents can inspect permit applications before approving them. One AutoGen agent fetches the Accela record, while a second agent reviews it for completeness and compliance. This AutoGen multi-agent debate ensures that no Accela application moves forward with missing information. The AutoGen system automatically flags missing Accela fields without requiring manual human triage.
Automate inspection scheduling using AutoGen agents
Using the `schedule_inspection` tool, your AutoGen coordination group can book field visits after verifying inspector availability. An AutoGen scheduling agent proposes a date based on `list_inspections`, while a logistics agent verifies the Accela route. They negotiate the optimal slot before executing the final AutoGen write command to Accela. This collaborative AutoGen process reduces travel times and prevents Accela scheduling conflicts.
Verify developer contacts and licenses automatically
Running the `search_contacts` tool within an AutoGen security loop lets you verify builder credentials against municipal databases. The AutoGen security agent queries the Accela contact info, while the compliance agent checks for active licenses. If the contractor has outstanding violations, the AutoGen agent halts the `create_record` workflow in Accela. Enforcing this check ensures that only authorized entities can submit new Accela permit applications via AutoGen.
Set up Accela 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 Accela 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="Accela_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Accela 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="Accela_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Accela 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 Accela. 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 Accela MCP in AutoGen
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