Compatible with every major AI agent and IDE
What is the Minas Gerais (Estado) MCP Server?
Connect to the Minas Gerais State Open Data Portal to explore a vast repository of public information. This server allows AI agents to programmatically browse, search, and retrieve metadata from one of Brazil's most comprehensive transparency portals.
What you can do
- Dataset Discovery — List all available packages or search for specific datasets related to health, education, or finance using
list_packagesandsearch_packages. - Organizational Insights — Explore the structure of the state government by listing departments and viewing their specific datasets via
list_organizationsandget_organization. - Resource Access — Identify specific files (CSV, PDF, XLS) within datasets and retrieve their metadata using
get_resourceandsearch_resources. - Categorized Browsing — Navigate data through thematic groups (categories) or tags to find exactly what you need with
list_groupsandlist_tags.
How it works
- Subscribe to this server
- (Optional) Enter your Minas Gerais Portal API Key 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 inspect public datasets for research and reporting
- Journalists — automate the discovery of government transparency data and organizational structures
- Developers — integrate official state data into applications without manual portal navigation
Built-in capabilities (10)
Get details and datasets of a group
Get details and datasets of an organization
Get full metadata of a specific dataset
Get metadata of a specific resource (file)
List all groups (categories)
List all organizations
List all dataset names in the portal
List all tags used in the portal
Search for datasets matching specific criteria
Search for resources matching a query
Why LlamaIndex?
LlamaIndex agents combine Minas Gerais (Estado) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Minas Gerais (Estado) tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Minas Gerais (Estado) tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Minas Gerais (Estado), a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Minas Gerais (Estado) tools were called, what data was returned, and how it influenced the final answer
Minas Gerais (Estado) in LlamaIndex
Minas Gerais (Estado) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Minas Gerais (Estado) to LlamaIndex 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 Minas Gerais (Estado) in LlamaIndex
The Minas Gerais (Estado) 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 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex 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
Minas Gerais (Estado) for LlamaIndex
Every tool call from LlamaIndex to the Minas Gerais (Estado) 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 find datasets related to a specific topic like 'health'?
You can use the search_packages tool with the query 'saude' or use get_group with the ID 'saude' to list all datasets categorized under that theme.
Can I see the actual download links for the data files?
Yes. By using get_package with a dataset ID, the AI will retrieve the metadata for all associated resources, which typically includes the URL, format (CSV, PDF), and description of each file.
How do I list all government agencies that publish data on the portal?
Use the list_organizations tool. It will return a list of all government bodies (like CGE, SEF, etc.) that have active datasets in the Minas Gerais portal.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Minas Gerais (Estado) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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