# FastAPI MCP Application

> Use this tool when you need to interact with CRUD operations via a standardized interface, allowing clients to create, read, update, and delete data through Model Context Protocol (MCP) endpoints. It solves problems related to data management and integration by providing a REST API with clear and consistent interfaces. The FastAPI MCP Application takes in MCP requests and returns relevant data, making it ideal for use cases that require standardized data interactions.

Canonical page: https://skillsregistry.net/skills/christian-felipe9-mcp-api  
JSON: https://api.skillsregistry.net/v1/skills/christian-felipe9-mcp-api

## Description

A REST API built with FastAPI that exposes endpoints via Model Context Protocol (MCP), allowing clients to interact with CRUD operations through MCP interfaces.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/doazzf1hd4)
- **Repository:** <https://github.com/christian-felipe9/MCP-API>

## 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": "christian-felipe9-mcp-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/christian-felipe9-mcp-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/christian-felipe9-mcp-api/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