AI-First Scraper

Three MCP tools: fetch_page, fetch_pages_batch, search_web.

Connector by yubinkim444 · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 2

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/yubinkim444-ai-first-scraper-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Three MCP tools: fetch_page, fetch_pages_batch, search_web. Ad-free Markdown for AI agents.

Reviews

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools: 2 read · 0 write · 0 delete · 1 not yet classified
Secrets: None asked for
Install scripts: Not scanned yet
Runs as: Python package

Tools by what they do 3

Read from the source code; the running server may list different tools.

Read 2 · Look things up without changing anything.

fetch_page
fetch_pages_batch

Not yet classified 1 · We could not tell from the name and description.

search_web

Secrets and settings it asks for

Other settings (environment variables or headers).

AFS_TIMEOUT
SCRAPER_URL
SEARCH_URL

Tools (3)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

fetch_page
Fetch a single web page or PDF and return its main content as clean, ad-free Markdown — ready to drop into an LLM prompt. Args: url: A fully-qualified http(s) URL. max_tokens: Optional soft cap on the returned Markdown (whitespace tokens). When exceeded, the body is truncated and a `[...truncated]` marker is appended. Returns: The cleaned Markdown body of the page.
fetch_pages_batch
Fetch many web pages in parallel and return each one's clean Markdown. Use this whenever you need to read more than one URL at once — it is far faster than calling fetch_page in a loop because the upstream scraper handles the concurrency. Args: urls: Up to 25 URLs. max_tokens: Optional per-URL soft cap on the returned Markdown. Returns: A list of `{url, ok, data?, error?}` objects in the same order as the input URLs. `data` is `{title, word_count, markdown, links, ...}` on success; `error` contains the failure reason otherwise.
search_web
Run a web search and return the top-k result pages already converted to clean Markdown. Use this whenever you need fresh information from the public web — it combines search and read in one call. Args: q: The user's query (free text). k: How many results to fetch (1–10, default 5). max_tokens: Optional per-result soft cap on the returned Markdown. Returns: A list of `{url, title, snippet, ok, markdown, word_count, error?}` result objects. Use `title` and `snippet` to decide which results are worth citing, then drop the `markdown` field into your prompt.

Signals

Stars: 2
Forks: 0
Open issues: 0
Weekly downloads: 95
Last commit: Aug 26, 2026 (2 months ago)
Last release: Aug 26, 2026 (2 months ago)
Last package publish: Aug 26, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name: io.github.yubinkim444/ai-first-scraper-mcp
Version: 1.0.2
Auth: No auth
Packages: pypi ai-first-scraper-mcp
License: MIT
Repository: github.com/yubinkim444/ai-first-scraper-mcp
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Official MCP Registry github-graphql