# rest-api-mcp

> Use this tool when you need to integrate large language models (LLMs) with external services via REST APIs, enabling seamless interaction and data exchange. It solves problems of API compatibility and response handling, providing features like smart response truncation and field extraction. The tool accepts HTTP requests as input and generates TypeScript types as output, making it ideal for use cases requiring programmatic API interactions.

Canonical page: https://skillsregistry.net/skills/nicolaspadari-rest-api-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nicolaspadari-rest-api-mcp

## Description

A lightweight MCP server that enables LLMs to interact with any REST API via HTTP requests, with smart response truncation, TypeScript type generation, and field extraction.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hzr5yflztc)
- **Repository:** <https://github.com/NicolaSpadari/rest_api_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": "nicolaspadari-rest-api-mcp"
    }
  }
}
```

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