# FastAPI CRUD MCP

> Use this tool when you need to interact with a database using natural language, creating, reading, updating, and deleting items through FastAPI endpoints. It solves problems of data management and retrieval, providing a simple interface for AI agents to send and receive data in Pydantic format. Ideal for use cases requiring flexible and intuitive database interaction, such as data querying, item management, and automated workflows.

Canonical page: https://skillsregistry.net/skills/brunolnetto-fastapi-crud-mcp  
JSON: https://api.skillsregistry.net/v1/skills/brunolnetto-fastapi-crud-mcp

## Description

A minimal CRUD API for items that exposes FastAPI endpoints as MCP tools, enabling natural language interaction with a database through PydanticAI agents.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h812ffoib2)
- **Repository:** <https://github.com/brunolnetto/fastapi-crud-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": "brunolnetto-fastapi-crud-mcp"
    }
  }
}
```

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