How to Use the ALESP (Assembleia SP) MCP in AutoGen

Enable multi-agent debate on legislative matters in AutoGen using the ALESP (Assembleia SP) MCP Server.

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Connect ALESP (Assembleia SP) MCP to AutoGen

Create your Vinkius account to connect ALESP (Assembleia SP) 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.

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Setup ALESP (Assembleia SP) with AutoGen

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Perplexity

Debate ALESP (Assembleia SP) policies

Set up a team of specialized agents to negotiate legislative interpretations. One agent retrieves data using `get_legislacao_normas` while another evaluates the impact of those norms. They challenge each other until they reach a consensus. This prevents single-agent bias when analyzing complex assembly proposals.

Manage AutoGen agent security

Assign a security agent to oversee all calls to `get_despesas_gabinetes`. It checks for unusual patterns or access requests before allowing the data to proceed to the lead researcher. This keeps your multi-agent system disciplined. You don't have to worry about rogue tool usage when the agents are busy negotiating.

Scale ALESP (Assembleia SP) research

Deploy multiple agents to fetch large datasets from the assembly simultaneously. By using `get_deputados` and `get_comissoes` in parallel, your agents gather a complete picture of the legislature fast. They coordinate their findings into a final report. This is efficient for large-scale research projects that involve thousands of records.

Setup guide

Set up ALESP (Assembleia SP) 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes ALESP (Assembleia SP) tools and returns structured results.

agent.py

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="ALESP (Assembleia SP)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent ALESP (Assembleia SP) data")
print(result.messages[-1].content)

Get your connection token →

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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="ALESP (Assembleia SP)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent ALESP (Assembleia SP) data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about ALESP (Assembleia SP) MCP in AutoGen

Agents pass tool results through the conversation history. This allows every agent in the group to access the latest assembly records.

You define specific tool lists for each agent constructor. This ensures only the relevant agents can access sensitive legislative endpoints.

The server supports streaming transports. You can watch the deliberation process in real-time as agents fetch and discuss the latest assembly data.

They use their internal reasoning to cross-reference data. If an agent finds a discrepancy, it flags the issue for further debate.

All traffic is handled through an ephemeral sandbox. Your agents only touch legislative public data, and your execution environment remains fully isolated.

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