MCP server
Faceabot PDF text extractor Official
com.faceabot/pdf
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Read the text of any public PDF, page by page, plus page count and metadata. Free, no key.
Working at last checkVerified publisher: faceabot.comAbout 401 tokens per request once connected2 tools
https://pdf.faceabot.com/mcp
At a glance
- Type
- MCP server
- Publisher
- faceabot.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 2
- Token cost
- About 401 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http pdf https://pdf.faceabot.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.pdf] url = "https://pdf.faceabot.com/mcp"
Gemini CLI
{"mcpServers":{"pdf":{"httpUrl":"https://pdf.faceabot.com/mcp"}}}
Cursor
{"mcpServers":{"pdf":{"url":"https://pdf.faceabot.com/mcp"}}}
VS Code
{"servers":{"pdf":{"type":"http","url":"https://pdf.faceabot.com/mcp"}}}
Antigravity
agy mcp add pdf https://pdf.faceabot.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"pdf","server_url":"https://pdf.faceabot.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"pdf","server_url":"https://pdf.faceabot.com/mcp"}
Tools
pdf_extract_text~263 tokens
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: {"updf_info~138 tokens
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"}
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