# fetchr

> fetchr — thesatellite-ai-fetchr. Use this tool when you need to bypass anti-bot detection and send HTTP requests that mimic browser behavior, such as Chrome or Firefox. Fetchr solves problems of blocked curl requests and provides a CLI, server, and Go package interface to send requests with browser-like TLS fingerprinting. It is ideal for use cases where real HTTP access is required, such as web scraping or automation, and can be integrated with tools like Claude Desktop and Claude Code.

Canonical page: https://skillsregistry.net/skills/thesatellite-ai-fetchr  
JSON: https://api.skillsregistry.net/v1/skills/thesatellite-ai-fetchr

## Description

An open-source HTTP client with browser TLS fingerprinting (JA3/JA4, HTTP/2, QUIC) — a CLI, an MCP server that gives Claude Desktop & Claude Code real HTTP access, and an importable Go package. Requests look like Chrome or Firefox, passing anti-bot detection that blocks curl.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/thesatellite-ai/fetchr)

## 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": "thesatellite-ai-fetchr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thesatellite-ai-fetchr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thesatellite-ai-fetchr/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