Compatible with every major AI agent and IDE
What is the Rio Grande do Sul (Dados RS) MCP Server?
Connect to the Dados RS portal and explore the public data infrastructure of Rio Grande do Sul, Brazil. This server allows any AI agent to interact with the state's CKAN-based repository to find, inspect, and analyze government information.
What you can do
- Dataset Discovery — List all available datasets or search for specific topics like health, education, or finance using keywords.
- Organization Insights — Explore the government bodies (organizations) that publish data and list their specific contributions.
- Thematic Browsing — Navigate data through thematic groups such as 'Environment', 'Security', or 'Economy'.
- Deep Data Querying — Access tabular data within resources using filters or execute complex SQL queries directly against the DataStore.
- Resource Inspection — Fetch metadata for specific files, links, and data distributions to understand their structure before downloading.
How it works
- Subscribe to this server
- (Optional) Enter your Dados RS API Key for higher rate limits
- Start querying public data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Scientists & Researchers — quickly find and query government statistics without manual CSV downloads
- Journalists — audit public spending and government actions through direct access to official records
- Developers — integrate real-time public data into applications using the DataStore SQL capabilities
Built-in capabilities (11)
List all datasets (packages)
List groups
List organizations
Search datasets (packages)
Search DataStore
SQL Query on DataStore
Search resources
Show dataset details
Show group details
Show organization details
Show resource details
Why Google ADK?
Google ADK natively supports Rio Grande do Sul (Dados RS) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Rio Grande do Sul (Dados RS)
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Rio Grande do Sul (Dados RS) tools with BigQuery, Vertex AI, and Cloud Functions
Rio Grande do Sul (Dados RS) in Google ADK
Rio Grande do Sul (Dados RS) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Rio Grande do Sul (Dados RS) to Google ADK 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 Rio Grande do Sul (Dados RS) in Google ADK
The Rio Grande do Sul (Dados RS) 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 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK 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
Rio Grande do Sul (Dados RS) for Google ADK
Every tool call from Google ADK to the Rio Grande do Sul (Dados RS) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I search for datasets related to a specific topic like 'COVID'?
Use the search_datasets tool with the q parameter set to your topic. For example, searching for 'covid' will return all matching packages from the portal.
Can I perform advanced data analysis using SQL on the portal's data?
Yes! The search_datastore_sql tool allows you to execute full SQL SELECT statements against datasets stored in the CKAN DataStore, enabling complex filtering and aggregation.
How do I find which government departments are publishing data?
Use the list_organizations tool to get a complete list of all government bodies. You can then use show_organization with a specific ID to see their metadata and datasets.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
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Update: pip install --upgrade google-adk
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