# fastapi-mcp-inspect

> Use this tool when you need to dynamically inspect and understand the structure of a FastAPI application at runtime. It solves problems related to API discovery and documentation by providing AI agents with access to routes, endpoints, and schemas. This tool takes a FastAPI application as input and outputs inspectable API metadata, ideal for use cases involving automated testing, API gateways, or AI-powered API analysis.

Canonical page: https://skillsregistry.net/skills/inclinedadarsh-fastapi-mcp-inspect  
JSON: https://api.skillsregistry.net/v1/skills/inclinedadarsh-fastapi-mcp-inspect

## Description

Mounts an MCP server onto FastAPI to let AI agents inspect routes, endpoints, and schemas at runtime.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w2b2oh3h7t)
- **Repository:** <https://github.com/inclinedadarsh/fastapi-mcp-inspect>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "inclinedadarsh-fastapi-mcp-inspect"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/inclinedadarsh-fastapi-mcp-inspect` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/inclinedadarsh-fastapi-mcp-inspect/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt