How do I connect an AI agent to Aevia?

Use the MCP streamable HTTP endpoint https://app.aeviamodeler.ai/api/v1/connector/mcp.

Faceabot

Catalog › ai.aeviamodeler/aevia

Is Aevia reliable?

Not measured yet Not measured yet. Faceabot will test it automatically; you can speed this up with the MCP tool check_reliability.

En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

AI-powered life cycle assessment and modelling: connect to LCA databases, build and analyze systems

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "aevia": {
      "url": "https://app.aeviamodeler.ai/api/v1/connector/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"ai.aeviamodeler/aevia"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-05 23:03 UTC	❌ auth_required		558 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Find tools similar to Aevia →

Publisher of Aevia?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/ai.aeviamodeler/aevia.svg)](https://faceabot.com/tools/ai.aeviamodeler/aevia)

Data in JSON: /api/catalog?id=ai.aeviamodeler/aevia · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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