F
licenseNot graded
qualityC
maintenanceProvides tools for reading and extracting text from PDF files, supporting both local files and URLs.
47
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Faceabot PDF text extractor
by com.faceabot
Server Details
Read the text of any public PDF, page by page, plus page count and metadata. Free, no key.
Ownership verified
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
A3.9/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have clearly distinct purposes: one extracts text content, the other returns metadata and page information. An agent can easily decide which to use based on whether it needs the actual text or just information about the PDF.
Naming Consistency4/5
Both names share the `pdf_` prefix, which gives a clear domain grouping. However, `pdf_extract_text` follows a verb_noun pattern while `pdf_info` is noun-only, so the action convention is not perfectly consistent.
Tool Count3/5
With only two tools, the set is quite thin for a PDF handling server. While the narrow purpose may justify minimalism, the count is borderline and leaves little room for common adjacent operations.
Completeness4/5
The server covers the core read-only lifecycle: inspect a PDF and extract its text page by page. Minor gaps exist, such as no OCR for scanned PDFs (explicitly excluded) and no broader file-source support, but these are reasonable limitations for the stated purpose.
Available Tools
2 toolspdf_extract_textExtract text from a PDFARead-onlyIdempotentInspect
Reads a PDF from its public https address and returns its text, page by page (parse / read a PDF: invoices, papers, reports, contracts, forms…). Up to 10 MB; use start to read further. Use when: you need the text content of a PDF file. Not for scanned PDFs (images only): those need OCR. Example: {"url":"https://pdf.faceabot.com/sample.pdf"}
Inputs: url (required), pages, start, max_chars.
pdf_infoPDF informationARead-onlyIdempotentInspect
Number of pages, title, author, creation date and whether the PDF has extractable text. Use when: you want to know what a PDF is before reading it. Example: {"url":"https://pdf.faceabot.com/sample.pdf"}
Inputs: url (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Related MCP Connectors
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Extract text, tables and RAG chunks from public PDF URLs; pay-per-event via your Apify account.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceProvides random access to PDF contents with selective page extraction, text search, outline navigation, image extraction, and page rendering capabilities. Reduces token usage by allowing targeted content extraction instead of processing entire documents.4MIT
- FlicenseAqualityDmaintenanceEnables reading and extracting content from PDF documents including text (as Markdown), images, tables, and metadata from both local files and URLs, with OCR support for scanned documents.2-
- AlicenseAqualityDmaintenanceEnables PDF processing and analysis including text extraction, metadata retrieval, search, page manipulation, splitting/merging, conversion to images, and form handling.10MIT
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