Maranhão Open Data MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Get Package, Get Resource, List Packages, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Maranhão Open Data through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this MCP Server for Pydantic AI
The Maranhão Open Data MCP Server for Pydantic AI is a standout in the Knowledge Management category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Maranhão Open Data "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in Maranhão Open Data?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Maranhão Open Data MCP Server
Connect to the Maranhão Open Data Portal to explore government transparency data directly through your AI agent. This server interfaces with the state's CKAN-based infrastructure to provide real-time access to public information.
Pydantic AI validates every Maranhão Open Data tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Dataset Discovery — List all available packages or search for specific topics like education, health, or finance using
list_packagesandsearch_packages. - Metadata Inspection — Retrieve detailed metadata for datasets and specific resources (CSV, PDF, API endpoints) with
get_packageandget_resource. - Data Exploration — Search within specific resource rows using
search_datastoreor execute complex SQL queries against the DataStore for deep analysis withsearch_datastore_sql.
The Maranhão Open Data MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Maranhão Open Data tools available for Pydantic AI
When Pydantic AI connects to Maranhão Open Data through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, transparency, public-records, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get package on Maranhão Open Data
Retrieve dataset metadata
Get resource on Maranhão Open Data
g., a CSV file or API endpoint within a dataset). Retrieve resource metadata
List packages on Maranhão Open Data
List all datasets (packages) on the portal
Search datastore on Maranhão Open Data
Search within a resource in the DataStore
Search datastore sql on Maranhão Open Data
Execute SQL query against the DataStore
Search packages on Maranhão Open Data
Search for datasets
Connect Maranhão Open Data to Pydantic AI via MCP
Follow these steps to wire Maranhão Open Data into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Maranhão Open Data MCP Server
Pydantic AI provides unique advantages when paired with Maranhão Open Data through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Maranhão Open Data integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Maranhão Open Data connection logic from agent behavior for testable, maintainable code
Maranhão Open Data + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Maranhão Open Data MCP Server delivers measurable value.
Type-safe data pipelines: query Maranhão Open Data with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Maranhão Open Data tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Maranhão Open Data and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Maranhão Open Data responses and write comprehensive agent tests
Example Prompts for Maranhão Open Data in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Maranhão Open Data immediately.
"List all available datasets on the Maranhão Open Data portal."
"Search for datasets related to 'saúde' (health)."
"Run a SQL query to select the first 5 rows from the resource 'd3b0c...'."
Troubleshooting Maranhão Open Data MCP Server with Pydantic AI
Common issues when connecting Maranhão Open Data to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiMaranhão Open Data + Pydantic AI FAQ
Common questions about integrating Maranhão Open Data MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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