Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add mcp-dir/incra_coordenadas-mcp --skill incra_coordenadas-mcpgit clone --depth 1 https://github.com/mcp-dir/incra_coordenadas-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mcp-dir/incra_coordenadas-mcp/incra_coordenadas-mcp)<a href="https://agentmods.dev/skills/mcp-dir/incra_coordenadas-mcp/incra_coordenadas-mcp"><img src="https://agentmods.dev/badge/skills/mcp-dir/incra_coordenadas-mcp/incra_coordenadas-mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mcp-dir/incra_coordenadas-mcp/incra_coordenadas-mcp"><img src="https://agentmods.dev/badge/skills/mcp-dir/incra_coordenadas-mcp/incra_coordenadas-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00110 | $0.00726 |
| Opus 5 | $0.00055 | $0.00363 |
| Sonnet 5 | $0.00022 | $0.00145 |
| Haiku 4.5 | $0.00011 | $0.00073 |
Grade A, and why
incra_coordenadas-mcp scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST https://api.mcp.ai/api/incra_coordenadas/consultar \ How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
INCRA: Disponibilizador de Coordenadas — REST API skill
Você tem acesso à INCRA: Disponibilizador de Coordenadas REST API na MCP.AI.
INCRA: Disponibilizador de Coordenadas, consulta em fonte oficial. Hospedado pela plataforma, sem credenciais da plataforma, pague por consulta com crédito pré-pago.
Base URL
https://api.mcp.ai/api/incra_coordenadas
Todo endpoint é um POST na Base URL + o path abaixo. Os parâmetros vão no corpo JSON.
Autenticação
Inclua em toda request:
Authorization: Bearer sk_live_...
Content-Type: application/json
Gere sua chave em https://app.mcp.ai/settings/api-keys (workspace API key
sk_live_…, não expira, revogável). Uma única chave serve pra todos os seus MCPs.
Formato de resposta
{ "ok": true, "tool": "<tool_id>", "result": <payload> }
Exemplo cURL
curl -X POST https://api.mcp.ai/api/incra_coordenadas/consultar \
-H "Authorization: Bearer sk_live_..." \
-H "Content-Type: application/json" \
-d '{"numero_certificacao":"...","login_cpf":"...","login_senha":"..."}'
Reportar problemas
Se um endpoint retornar erro, vazio ou dado inesperado, reporte (não desista calado): POST /api/incra_coordenadas/report com { "message": "...", "context"?: "...", "conversation"?: [...] }. Isso notifica o time da MCP.AI.
Endpoints (1)
incra_coordenadas_consultar
INCRA: Disponibilizador de Coordenadas, consulta em fonte oficial. (POST /api/incra_coordenadas/consultar)
| Parâmetro | Tipo | Obrigatório | Descrição |
|---|---|---|---|
numero_certificacao |
string | Sim | Parâmetro de consulta "numero_certificacao". |
login_cpf |
string | Sim | Parâmetro de consulta "login_cpf". |
login_senha |
string | Sim | Parâmetro de consulta "login_senha". |
pkcs12_cert |
string | Não | Parâmetro de consulta "pkcs12_cert". |
pkcs12_pass |
string | Não | Parâmetro de consulta "pkcs12_pass". |
Este MCP também funciona via conexão MCP (Claude / Cursor) em https://api.mcp.ai/p_incra_coordenadas — veja o README. A skill acima é pra consumir a REST API direto (agente próprio / código).
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 67 lines · 0 tokens per session scan A f7b79d16a5e9
incra_coordenadas-mcp is a skill published in the GitHub repository mcp-dir/incra_coordenadas-mcp (0 stars, last pushed 12d ago), licensed MIT. It adds 110 tokens to every session and 726 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
matlab
Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
phylogenetics
Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
mapping-to-snomed
Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…