# fetch-rendered-page-mcp

> fetch-rendered-page-mcp — blono-fetch-rendered-page-mcp. Use this tool when you need to fetch and render dynamic web pages, especially single-page applications (SPAs), and convert their content into Markdown or text. It solves problems related to accessing JavaScript-heavy websites and provides features like login session support and batch fetching. The tool accepts URLs as input and returns rendered content as output, making it suitable for use cases where dynamic web page data needs to be extracted or processed.

Canonical page: https://skillsregistry.net/skills/blono-fetch-rendered-page-mcp  
JSON: https://api.skillsregistry.net/v1/skills/blono-fetch-rendered-page-mcp

## Description

MCP server that fetches and renders dynamic web pages (SPA) using Chromium, returning content as Markdown or text. It uses lightweight HTTP first with automatic fallback to a browser for JS-heavy sites, and includes SSRF protection, login session support, and batch fetching.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c1xvvq08k7)
- **Repository:** <https://github.com/blono/fetch-rendered-page-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": "blono-fetch-rendered-page-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/blono-fetch-rendered-page-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/blono-fetch-rendered-page-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