F
licenseNot graded
qualityC
maintenanceMCP server for document conversion and processing, enabling AI assistants to handle various document formats.
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MCP Document Reader
by crispvibe
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TDQS
A3.5/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: extract_document_images extracts images from DOCX, read_document reads text from various file types, write_presentation creates PowerPoint files, and write_word_document creates Word documents. There is no overlap in functionality, making tool selection straightforward for an agent.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern (e.g., extract_document_images, read_document, write_presentation, write_word_document). The naming is uniform and predictable, with no deviations or mixed conventions.
Tool Count4/5
With 4 tools, the count is reasonable for a document reader server, covering reading, extraction, and writing for common document types. It is slightly lean but well-scoped, as each tool serves a distinct and useful function without redundancy.
Completeness3/5
The tool set covers reading and writing for key document formats (Word, PowerPoint, PDF, etc.) and image extraction, but there are notable gaps. For example, it lacks tools for updating or editing existing documents, converting between formats, or handling other common operations like document merging or metadata manipulation, which could limit agent workflows.
Maintenance
ActivityInactive
ResponsivenessUnresponsive