Bring Open Data
to Google ADK
Learn how to connect Acre Dados Abertos to Google ADK and start using 8 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 Acre Dados Abertos MCP Server?
Connect to the Acre Dados Abertos portal to query public information from the State of Acre. This server allows AI agents to browse, search, and analyze government datasets, organizational structures, and thematic groups.
What you can do
- Dataset Discovery — List and search for specific packages (datasets) like municipal GDP, environmental data, or demographic statistics.
- Metadata Inspection — Fetch detailed metadata for packages and individual resources (files) to understand data provenance and formats.
- Thematic Exploration — Browse data organized by thematic groups (e.g., economy, health, education) or by the specific government organizations that publish them.
- Deep Data Querying — Search and filter records directly within tabular resources (Datastore) like CSV files without downloading the entire dataset.
How it works
- Subscribe to this server
- (Optional) Enter your Acre API Key if you have one for higher rate limits
- Start querying public data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — quickly find and sample public datasets for research and reporting
- Journalists — verify government figures and find public records through natural language
- Developers — integrate real-time public data into applications using the Datastore search capabilities
Built-in capabilities (8)
Get details for a specific group
Get detailed metadata for a specific dataset (package)
Get metadata for a specific resource
List all thematic groups
List all organizations
List all dataset (package) names
Search and filter records within a tabular resource (Datastore)
Search for datasets (packages)
Why Google ADK?
Google ADK natively supports Acre Dados Abertos as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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 Acre Dados Abertos
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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 Acre Dados Abertos tools with BigQuery, Vertex AI, and Cloud Functions
Acre Dados Abertos in Google ADK
Acre Dados Abertos and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Acre Dados Abertos 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 Acre Dados Abertos in Google ADK
The Acre Dados Abertos 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 8 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
Acre Dados Abertos for Google ADK
Every tool call from Google ADK to the Acre Dados Abertos 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 'health'?
Use the search_packages tool with the query 'saude'. The agent will return a list of datasets matching that theme from the Acre portal.
Can I filter data inside a CSV file without downloading it?
Yes! If the resource is in the Datastore, use the search_datastore tool with the Resource ID. You can apply filters like {"municipio": "Rio Branco"} to get specific rows.
How do I find which government departments are publishing data?
Use the list_organizations tool to see all contributing entities, or list_groups to see thematic categorizations like 'Environment' or 'Economy'.
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.
McpToolset not found
Update: pip install --upgrade google-adk
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