io.github.ONSBR/tiago-dados-abertos
PYPI · MCP-TIAGO-DADOS-ABERTOS · SCANNED SEP 22
MCP server que conecta agentes de IA aos dados abertos do ONS (Operador Nacional do Sistema)
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security50
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- 2 of 26 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency23
- Repository check failed: no source repository is declared. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (Apache-2.0).Pass
- Actively maintained (last published 1 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability82
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 825 tokens (~165/item across 5 items; 4 tools + 1 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management60
- Stability observed for 18 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.ONSBR/tiago-dados-abertos MCP server?
io.github.ONSBR/tiago-dados-abertos runs locally as a PyPI package, launched with uvx mcp-tiago-dados-abertos. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · mcp-tiago-dados-abertos
claude mcp add onsbr-tiago-dados-abertos -- uvx mcp-tiago-dados-abertos
{
"mcpServers": {
"onsbr-tiago-dados-abertos": {
"command": "uvx",
"args": [
"mcp-tiago-dados-abertos"
]
}
}
} {
"servers": {
"onsbr-tiago-dados-abertos": {
"command": "uvx",
"args": [
"mcp-tiago-dados-abertos"
]
}
}
} codex mcp add onsbr-tiago-dados-abertos -- uvx mcp-tiago-dados-abertos
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"onsbr-tiago-dados-abertos": {
"type": "local",
"command": [
"uvx",
"mcp-tiago-dados-abertos"
],
"enabled": true
}
}
} openclaw mcp add onsbr-tiago-dados-abertos --command uvx --arg mcp-tiago-dados-abertos
mcp_servers:
onsbr-tiago-dados-abertos:
command: "uvx"
args: ["mcp-tiago-dados-abertos"] {
"McpServers": {
"onsbr-tiago-dados-abertos": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"mcp-tiago-dados-abertos"
]
}
}
} assistant mcp add onsbr-tiago-dados-abertos -t stdio -c uvx -a mcp-tiago-dados-abertos
{
"mcpServers": {
"onsbr-tiago-dados-abertos": {
"command": "uvx",
"args": [
"mcp-tiago-dados-abertos"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 21 Sept 26 −14
- Malware scan: pass → unverified ▼ security
- 20 Sept 26 +15
- Stability: 0.50 → unverified ▼ security
- Tool safety: pass → unverified ▼ security
- Malware scan: unverified → pass ▲ security
- Capabilities: pass → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Schema quality: 100 → unverified ▼ functional
- Package version: 1.0.1 → 1.1.0 functional
- 18 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.
- 16 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 37 to 40. That category is still filling its 30-day observation window: 11 days of observed history at the previous scan, 12 at this one. The score rises as the window fills, whether or not the server changes.
- 14 Sept 26 −14
- Malware scan: pass → unverified ▼ security
- 12 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- 11 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 10 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 22 Sept 2026 · Analysed pypi/mcp-tiago-dados-abertos@1.1.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 26 packages
| Packages resolved | 26 |
|---|---|
| Stale | 2 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
buscar_dataset ~262
Filtra o catalogo por termo: ate 10 datasets dos dados abertos do ONS ranqueados por palavra-chave e BM25 sobre os contratos. Complemento de listar_datasets, nao a entrada padrao. O caminho normal e ler a listagem inteira (listar_datasets ou o resource catalogo://datasets) e escolher pelo assunto e pelo grao. Use buscar_dataset quando o catalogo for grande demais para ler de uma vez, ou para localizar datasets por um termo especifico (sigla, nome de coluna, entidade). Parametros: tema: A pergunta do usuario ou o assunto. A pergunta inteira ranqueia melhor que palavras-chave soltas; nao resuma. orgao: Opcional - filtra pelo orgao do dataset. Neste corpus o unico valor e 'ons'. Retorno: Candidatos com RELEVANCIA em faixa (alta/media/fraca) e os termos que casaram. Quando o melhor candidato e fraco, o cabecalho diz "Nenhum dataset relevante": chame listar_datasets. Confirme sempre com descrever_dataset antes de gerar SQL.
| Name | Type | Req | Description |
|---|---|---|---|
| orgao | – | – | – |
| tema | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
descrever_dataset ~152
Retorna uma visao operacional formatada do contrato ODCS de um dataset do ONS. Parametros: nome_dataset: Nome EXATO do dataset, como aparece em listar_datasets ou buscar_dataset. Retorno: Visao formatada com schema, colunas (nomes e tipos), instrucoes de TRY_CAST, fewShotQueries de exemplo e portal URL do ONS (projecao dos campos operacionais do contrato, nao o YAML ODCS integral). SEMPRE leia o contrato antes de gerar SQL — use os nomes de colunas exatos. Cite o nome do dataset e o portal URL como fonte na resposta ao usuario.
| Name | Type | Req | Description |
|---|---|---|---|
| nome_dataset | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
executar_sql ~197
Executa SQL DuckDB read-only sobre os dados abertos do ONS (S3) com paginacao. Parametros: sql_query: Query SQL (SELECT ou WITH) baseada nas colunas reais do contrato. Somente leitura — DML/DDL sao bloqueados. limit: Maximo de linhas retornadas (default: 100). offset: Deslocamento para paginacao (default: 0). Retorno: Linhas do resultado da query. Quando ha mais paginas disponiveis, o retorno indica que existem registros adicionais alem do limit. IMPORTANTE: Use descrever_dataset antes de gerar SQL para obter nomes de colunas exatos e tipos. Nunca chute nomes de colunas. Verifique a cobertura temporal no contrato antes de filtrar por datas.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| offset | integer | – | – |
| sql_query | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
listar_datasets ~189
Lista TODOS os datasets do catalogo, um por linha: nome, granularidade, perspectiva temporal (verificado, programado, previsto ou cadastral) e uma frase de uso. Comece por aqui: e a entrada padrao do fluxo. Leia a listagem, escolha pelo assunto E pelo grao da pergunta (horario, diario ou mensal; verificado ou previsto) e chame descrever_dataset com o nome exato antes de gerar SQL. Cerca de 4 mil tokens. O mesmo conteudo esta no resource `catalogo://datasets`, que dispensa esta chamada quando fixado no contexto. Parametros: orgao: Opcional - filtra pelo orgao do dataset. Neste corpus o unico valor e 'ons'. Fluxo recomendado: listar_datasets -> descrever_dataset -> gerar query -> executar_sql.
| Name | Type | Req | Description |
|---|---|---|---|
| orgao | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
What is the io.github.ONSBR/tiago-dados-abertos MCP server?
io.github.ONSBR/tiago-dados-abertos is an MCP server listed in the public MCP registry as io.github.ONSBR/tiago-dados-abertos. MCP server que conecta agentes de IA aos dados abertos do ONS (Operador Nacional do Sistema). This page covers its PyPI package (mcp-tiago-dados-abertos).
Is the io.github.ONSBR/tiago-dados-abertos MCP server safe to use?
io.github.ONSBR/tiago-dados-abertos scores 58 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 22 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.ONSBR/tiago-dados-abertos MCP server expose?
io.github.ONSBR/tiago-dados-abertos exposes 4 tools: buscar_dataset, listar_datasets, descrever_dataset, executar_sql. Their descriptions and schemas cost roughly 800 tokens of context every time the server is loaded.
Is the io.github.ONSBR/tiago-dados-abertos MCP server still maintained?
io.github.ONSBR/tiago-dados-abertos is still listed as active in the MCP registry. We last reached this channel on 22 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.ONSBR/tiago-dados-abertos MCP server under?
io.github.ONSBR/tiago-dados-abertos declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.