Skip to content

AEO Score: 45/100 — How AI agents discover your FastAPI MCP endpoints #277

@digitamaz

Description

@digitamaz

AEO Score for fastapi-mcp: 45/100

Hi! I analyzed fastapi-mcp with Clarvia — an AEO (AI Engine Optimization) scanner.

Score: 45/100 (C — Emerging)

AEO measures how easily AI agents discover and use MCP servers. Since fastapi-mcp converts FastAPI endpoints to MCP tools, its discoverability is directly tied to how agents choose which MCP servers to install.

Key improvement areas at this score level: MCP tool descriptions, structured error responses, and well-known endpoint discoverability.

Badge for README:

[![AEO Score](https://clarvia.art/api/badge/fastapi_mcp)](https://clarvia.art/scan?url=https://github.com/tadata-org/fastapi_mcp)

Full report: https://clarvia.art/scan?url=https://github.com/tadata-org/fastapi_mcp

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions