Server data from the Official MCP Registry
ESG/IFRS S1-S2 diagnostics, carbon inventory Scope 1-3, CBAM certificate generation
ESG/IFRS S1-S2 diagnostics, carbon inventory Scope 1-3, CBAM certificate generation
Remote endpoints: sse: https://engenheiro-producao-ai.onrender.com/mcp/esg/sse
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
Endpoint verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-carruda-global-ecosystem-aec-esg": {
"url": "https://engenheiro-producao-ai.onrender.com/mcp/esg/sse"
}
}
}From the project's GitHub README.
Agents Intelligence Orchestration Network
Agent generated with agents-cli version 0.6.1
aion-agents/
├── app/ # Core agent code
│ ├── agent.py # Main agent logic
│ ├── fast_api_app.py # FastAPI Backend server
│ └── app_utils/ # App utilities and helpers
├── tests/ # Unit, integration, and load tests
├── GEMINI.md # AI-assisted development guide
└── pyproject.toml # Project dependencies
💡 Tip: Use Antigravity CLI for AI-assisted development - project context is pre-configured in
GEMINI.md.
Before you begin, ensure you have:
uv add <package>)uv tool install google-agents-cliInstall agents-cli and its skills if not already installed:
uvx google-agents-cli setup
Install required packages:
agents-cli install
Test the agent with a local web server:
agents-cli playground
You can also use features from the ADK CLI with uv run adk.
| Command | Description |
|---|---|
agents-cli install | Install dependencies using uv |
agents-cli playground | Launch local development environment |
agents-cli lint | Run code quality checks |
agents-cli eval | Evaluate agent behavior (generate, grade, analyze, and more — see agents-cli eval --help) |
uv run pytest tests/unit tests/integration | Run unit and integration tests |
agents-cli deploy | Deploy agent to Agent Runtime |
agents-cli publish gemini-enterprise | Register deployed agent to Gemini Enterprise |
| Command | What It Does |
|---|---|
agents-cli scaffold enhance | Add CI/CD pipelines and Terraform infrastructure |
agents-cli infra cicd | One-command setup of entire CI/CD pipeline + infrastructure |
agents-cli scaffold upgrade | Auto-upgrade to latest version while preserving customizations |
Edit your agent logic in app/agent.py and test with agents-cli playground - it auto-reloads on save.
gcloud config set project <your-project-id>
agents-cli deploy
To add CI/CD and Terraform, run agents-cli scaffold enhance.
To set up your production infrastructure, run agents-cli infra cicd.
Built-in telemetry exports to Cloud Trace, BigQuery, and Cloud Logging.
This agent supports the A2A Protocol. Use the A2A Inspector to test interoperability. See the A2A Inspector docs for details.
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