
PDF Text Extractor
Pricing
Pay per usage

PDF Text Extractor
PDF Text Extractor allows you to extract text from PDF files. It also supports chunking of the text to prepare the data for usage with large language models.
5.0 (1)
Pricing
Pay per usage
38
Total users
636
Monthly users
58
Runs succeeded
>99%
Issues response
21 days
Last modified
16 days ago
You can access the PDF Text Extractor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/sse?actors=jirimoravcik/pdf-text-extractor", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}
Configure MCP server with PDF Text Extractor
You have a few options for interacting with the MCP server:
Use
mcp.apify.com
viamcp-remote
from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).Set up the connection directly in your MCP client UI by providing the URL
https://mcp.apify.com/sse?actors=jirimoravcik/pdf-text-extractor
along with an API token (or use OAuth).Connect to
mcp.apify.com
via Server-Sent Events (SSE), as shown below:
{ "mcpServers": { "apify": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=jirimoravcik/pdf-text-extractor", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}
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.