# fetch-url-raw

> fetch-url-raw — cinit-fetch-url-raw. Use this tool when you need to fetch raw data from a URL, supporting custom HTTP requests with configurable methods, headers, and bodies. It solves problems related to web scraping, API integration, and data retrieval, providing a flexible interface for LLM agents to interact with web servers. The tool accepts URL, method, headers, and body as inputs and returns the raw HTTP response, making it ideal for use cases requiring fine-grained control over HTTP requests.

Canonical page: https://skillsregistry.net/skills/cinit-fetch-url-raw  
JSON: https://api.skillsregistry.net/v1/skills/cinit-fetch-url-raw

## Description

A stateless MCP server that provides a configurable HTTP client tool for LLM agents, supporting custom methods, headers, bodies, timeouts, redirects, response size limits, DNS overrides, and TLS verification.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/u3dwgz40x3)
- **Repository:** <https://github.com/cinit/fetch-url-raw>

## 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": "cinit-fetch-url-raw"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cinit-fetch-url-raw` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cinit-fetch-url-raw/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