Pricing

Pay per usage

PDF Text Extractor — Text & Metadata from URLs

Extract clean text and metadata from any PDF by URL: full text, page count, title, author, dates as JSON. Perfect for AI pipelines, RAG ingestion, document search and content analysis. No API key needed.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Oaida Adrian

Actor stats

Bookmarked

Total users

Monthly active users

11 days ago

Last modified

Configure MCP server with PDF Text Extractor for AI, RAG & Document Search

The configuration above connects to the hosted Apify MCP server with the PDF Text Extractor for AI, RAG & Document Search Actor already loaded. It uses OAuth, so your client opens a browser window to sign you in to Apify on first use. No API token is needed. Clients without OAuth support can authenticate with an Authorization: Bearer header carrying an API token from API & Integrations in Apify Console.

Get a ready-to-use configuration for your MCP client with the PDF Text Extractor for AI, RAG & Document Search Actor preconfigured at https://mcp.apify.com/?tools=fetch-actor-details,darknezz/pdf-text-extractor.

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

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