Bring Open Data
to Cline
Learn how to connect Mato Grosso do Sul Open Data to Cline and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
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 Cline?
Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Mato Grosso do Sul Open Data tool calls without waiting for prompts between steps. Connect 7 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
- —
Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
- —
Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
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Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
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Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
Mato Grosso do Sul Open Data in Cline
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 Cline 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 Cline
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 Cline 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 Cline
Every tool call from Cline 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 Cline connect to MCP servers?
Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.
Can Cline run MCP tools without approval?
By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.
Does Cline support multiple MCP servers at once?
Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.
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