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Full text, author, date and image for every news or blog link in a dataset, CSV or Google Sheet.
Bulk Article Extractor is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 100/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Bulk Article Extractor to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add io.github.Nero-Engine/bulk-article-extractor https://mcp.apify.com/?tools=nerolabs/bulk-article-extractorReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-17T18:57:03.004223Z",
"publishedAt": "2026-10-17T18:57:03.004223Z",
"statusChangedAt": "2026-10-17T18:57:03.004223Z"
}
},
"server": {
"name": "io.github.Nero-Engine/bulk-article-extractor",
"title": "Bulk Article Extractor",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://mcp.apify.com/?tools=nerolabs/bulk-article-extractor",
"type": "streamable-http",
"headers": [
{
"name": "Authorization",
"isSecret": true,
"isRequired": true,
"description": "Your Apify API token, sent as 'Bearer <token>'. Runs are billed per event to your Apify account."
}
]
}
],
"version": "0.1.0",
"websiteUrl": "https://apify.com/nerolabs/bulk-article-extractor",
"description": "Full text, author, date and image for every news or blog link in a dataset, CSV or Google Sheet."
}
}