PDFGate MCP Server
OfficialRelated Servers
Alternatives to PDFGate MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to generate PDFs from templates using dynamic data, manage async PDF jobs, list templates, and check account credits and transaction history through natural language.61 npmMIT
- AlicenseCqualityDmaintenanceEnables AI assistants to perform PDF operations like merge, split, compress, convert, encrypt, OCR, and summarize using natural language.988 npmMIT

pdf4me-mcpofficial
AlicenseBqualityDmaintenanceEnables AI assistants to perform a wide range of PDF processing tasks, including conversion, editing, merging, splitting, OCR, barcode/QR code generation and reading, AI-powered data extraction, and image processing, through the PDF4me API.92MIT- AlicenseNot gradedqualityBmaintenanceGives AI agents tools to read PDFs, list form fields, apply operations, highlight, add notes, fill fields, place signatures, list signatures, and flatten PDFs.1AGPL 3.0

PDFMonkey MCP Serverofficial
AlicenseAqualityCmaintenanceEnables AI assistants to generate PDFs from templates using the PDFMonkey API, including managing templates, documents, and Liquid snippets, and checking workspace and quota details.1197 npmMIT- AlicenseBqualityDmaintenanceEnables PDF manipulation including text, images, annotations, form fields, page operations, and metadata through natural language.16MIT
TDQS
Scored across 27 tools
The surface splits cleanly into four resource families (documents, recipients, envelopes, webhooks), and the descriptions proactively resolve the few confusable pairs (download_file vs get_document, delete_document vs delete_envelope, delete_recipient vs remove_recipient_signature, create_embed_link vs send_envelope). The remaining risk is the four transform tools (protect_pdf, flatten_pdf, compress_pdf, watermark_pdf), which are only distinguishable by reading the names closely, but their purposes are in fact distinct.
Every one of the 27 tools follows a snake_case verb_noun pattern (create_/get_/list_/update_/delete_/remove_/send_/void_ plus a resource), with no camelCase or bare-noun outliers. Domain-specific verbs (protect_pdf, flatten_pdf, watermark_pdf) still conform to the same verb_resource shape.
27 tools is on the heavy side, though the server genuinely spans three loosely coupled domains: PDF manipulation (~10 tools), recipients with automatic signing (7), envelopes (6) and webhooks (3). Each tool does earn roughly its place, but the document-processing group could plausibly have been consolidated into a single parameterized transform tool.
Recipients have full CRUD plus listing and signature lifecycle support, but the other families are missing key discovery/lifecycle operations: there is no list_documents, list_envelopes, or list_webhooks, and no update_envelope or webhook update. An agent can create and fetch by ID but cannot enumerate resources, which is a real dead end for discovery workflows.