Compatible with every major AI agent and IDE
What is the Mato Grosso do Sul Open Data MCP Server?
Connect to the Mato Grosso do Sul (MS) Open Data Portal to explore and analyze public information from the Brazilian state. This server allows AI agents to programmatically access datasets, organizations, and specific resource records.
What you can do
- Datasets & Packages — List all available public data packages and retrieve detailed metadata using
list_packagesandget_package. - Resource Inspection — Drill down into specific files or links within datasets to understand their structure with
get_resource. - DataStore Search — Filter and search through actual records in CSVs or spreadsheets directly using
datastore_search. - SQL Queries — Execute complex SQL statements on DataStore resources for advanced data analysis with
datastore_search_sql. - Organizational Context — List the government organizations and groups responsible for the data via
list_organizationsandlist_groups.
How it works
- Subscribe to this server
- Enter your Mato Grosso do Sul Data Portal API Key
- Start querying public state data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — instantly retrieve and filter state records without manual downloads
- Researchers — automate the collection of public metadata and resource links
- Developers — integrate real-time public data into applications using SQL queries
Built-in capabilities (7)
Search data in a DataStore resource
Execute a SQL query on DataStore resources
Get details of a specific dataset package
Get details of a specific resource
List all groups
List all organizations
List all dataset packages
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Mato Grosso do Sul Open Data tool infrastructure. Connect 7 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Mato Grosso do Sul Open Data without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Mato Grosso do Sul Open Data tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Mato Grosso do Sul Open Data in Mastra AI
Mato Grosso do Sul Open Data and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Mato Grosso do Sul Open Data to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Mato Grosso do Sul Open Data in Mastra AI
The Mato Grosso do Sul Open Data 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. All 7 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Mato Grosso do Sul Open Data for Mastra AI
Every tool call from Mastra AI to the Mato Grosso do Sul Open Data MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find specific datasets about health or education?
Use the list_packages tool to see all available dataset names, then use get_package with a specific ID to see the resources and descriptions related to that topic.
Can I perform complex filtering on the data records?
Yes! Use the datastore_search_sql tool to execute standard SQL queries (e.g., SELECT, WHERE, GROUP BY) directly against the DataStore resources for precise analysis.
How do I see which government departments provide the data?
Use the list_organizations action. It will return a list of all state entities and departments that have published data on the portal.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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