# FastAPI Architect MCP

> Use this tool when you need to enhance your FastAPI project development with intelligent code analysis and navigation. It solves problems such as inefficient code exploration, renaming, and dependency management by providing features like semantic code navigation, safe renaming, and Pydantic model analysis. With inputs from your FastAPI project code and outputs of actionable insights, use it to streamline your development workflow and improve code quality.

Canonical page: https://skillsregistry.net/skills/abdessamadtzn-fastapi-architect-mcp  
JSON: https://api.skillsregistry.net/v1/skills/abdessamadtzn-fastapi-architect-mcp

## Description

An MCP server that gives Claude Code IDE-level intelligence for FastAPI projects — semantic code navigation, safe renaming, route inspection, dependency trees, and Pydantic model analysis.

Instead of Claude reading files blindly, it calls structured tools backed by Jedi (Python language server) and Python's AST.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h2j1xop0jp)
- **Repository:** <https://github.com/AbdessamadTzn/fastapi-architect-mcp>

## 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": "abdessamadtzn-fastapi-architect-mcp"
    }
  }
}
```

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

---
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