PDF Reader MCP Server
Related Servers
Alternatives to PDF Reader MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceEnables AI agents to securely read and extract information from PDF files including text content, metadata, and page counts from both local files and URLs within the project context.11,813 npmMIT
- AlicenseAqualityBmaintenanceEnables AI agents to parse PDFs and search local document context through multimodal extraction and vector-based retrieval, all exposed as MCP tools.7MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to perform 13 PDF operations (merge, split, compress, watermark, encrypt, and more) on local files via MCP.2-
- AlicenseNot gradedqualityBmaintenanceExtracts text and tables from PDFs for AI agents via MCP, enabling structured data retrieval from invoices, reports, and statements.28 PyPI1MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to extract structured data from PDFs with confidence scores and provenance, and to search, review, and correct documents via MCP tools, resources, and prompts.-
- AlicenseAqualityAmaintenanceEnables AI agents to inspect and work with PDF files entirely on the local machine, covering page counts, metadata, layout, encryption permissions, scan-vs-text detection, and page rendering. Generated results land in a temporary workspace as short artifact ids that can be chained between tools and exported to real folders on request.121Apache 2.0
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'read_pdf' has a clear and distinct purpose focused on extracting content and metadata from PDFs.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'read_pdf' follows a clear verb_noun pattern, which would be consistent if more tools were added.
A single tool is too few for a server named 'PDF Reader MCP Server', as this suggests a broader domain that might include operations like search, annotate, convert, or edit PDFs. The scope feels incomplete with just reading functionality.
The tool set is severely incomplete for a PDF reader domain. While 'read_pdf' covers extraction, there are obvious gaps such as searching within PDFs, manipulating pages, adding annotations, converting formats, or handling PDF metadata updates, which are common in such applications.