How to Use the Maranhão Open Data MCP in AutoGen
Deploy AutoGen multi-agent teams to debate, verify, and analyze Maranhão Open Data public records.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Maranhão Open Data MCP to AutoGen
Create your Vinkius account to connect Maranhão Open Data 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.
Let AutoGen agents discover Maranhão Open Data
The `search_packages` tool allows your AutoGen discovery agent to find specific datasets on the Maranhão portal using keyword queries. The agent can search for topics like healthcare or infrastructure and pass the matching package list to its peer agents. A separate analyst agent can then use `get_package` to review the dataset's metadata. This cooperative workflow ensures your agents find and verify the correct data sources before performing any analysis.
Run collaborative SQL queries with this MCP Server
The `search_datastore_sql` tool allows your AutoGen coder agent to write and execute SQL queries directly against the Maranhão datastore. The raw query results are returned to the agent conversation for collaborative review. A critic agent can inspect the returned SQL data, flag anomalies, and ask the coder agent to refine the query using `search_datastore`. This back-and-forth debate ensures your team produces highly accurate reports on Brazilian state spending using this MCP Server.
Verify Maranhão resource schemas in AutoGen
The `get_resource` tool lets your AutoGen agents inspect the specific details of a data resource, such as a CSV file's structure or an API endpoint. This allows a data-engineer agent to verify the schema before any queries are run. If the schema doesn't match expectations, the agent can use `list_packages` to find alternative datasets. This automated quality check prevents your analysis agents from running failing queries on mismatched data structures.
Set up Maranhão Open Data 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 Maranhão Open Data 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="Maranhão Open Data_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Maranhão Open Data 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="Maranhão Open Data_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Maranhão Open Data 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 Maranhão Open Data. 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 Maranhão Open Data MCP in AutoGen
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