mcpField
R

rasterly

Local
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About rasterly

Web toolkit for AI agents: read any URL as Markdown, screenshot, extract data, or crawl a site.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "jhonychain-rasterly": {
      "command": "npx",
      "args": [
        "-y",
        "rasterly-mcp"
      ],
      "env": {
        "RASTERLY_API_KEY": "<RASTERLY_API_KEY>",
        "RASTERLY_API_URL": "<RASTERLY_API_URL>"
      }
    }
  }
}
Run commandnpx -y rasterly-mcp
Environment variables to set
RASTERLY_API_KEYSecretYour rasterly API key (get one free at https://rasterly.dev). Sent as the X-Api-Key header.
RASTERLY_API_URLOverride the rasterly API base URL to point at a self-hosted instance.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmrasterly-mcp0.2.0

Tools

5

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
urlstringYesThe page to read

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.