MCP server

ScrapeMole Wiki

dev.pages.scrapemole/wiki

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Pay-per-call x402 Wikipedia summaries/search and Wikidata facts, with CC BY-SA attribution.

Website

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

3

Token cost

About 818 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http wiki https://wiki.scrapemole.workers.dev/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.wiki]
url = "https://wiki.scrapemole.workers.dev/mcp"

Gemini CLI

{"mcpServers":{"wiki":{"httpUrl":"https://wiki.scrapemole.workers.dev/mcp"}}}

Cursor

{"mcpServers":{"wiki":{"url":"https://wiki.scrapemole.workers.dev/mcp"}}}

VS Code

{"servers":{"wiki":{"type":"http","url":"https://wiki.scrapemole.workers.dev/mcp"}}}

Antigravity

agy mcp add wiki https://wiki.scrapemole.workers.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"wiki","server_url":"https://wiki.scrapemole.workers.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"wiki","server_url":"https://wiki.scrapemole.workers.dev/mcp"}

Tools

• entity ~328 tokens
  Use when you need structured, machine-readable facts rather than prose: give a Wikidata ID (Q95) or a name (resolved to the best-matching item) and get its label, description, aliases, Wikipedia link and up to ~50 curated properties with human-readable labels: instance of, country, location, coordin
• search ~216 tokens
  Use to find the right Wikipedia article before reading it: full-text search over one Wikipedia language edition, returning up to 20 results with title, plain-text snippet, page URL, word count and last edit time, ranked by relevance. Results are titles and snippets only; use /v1/summary for content.
• summary ~274 tokens
  Use when you need a short, sourced explanation of a topic, place, organization, product or concept: returns the Wikipedia article's lead section as plain text plus title, short description, thumbnail and original image, page URL, Wikidata ID and last-modified time, in any Wikipedia language (redirec

Browse

• Notes and wikis
• Payments
• Stocks and markets

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