A
licenseA
qualityD
maintenanceProvides AI assistants with unified file operations via MCP, supporting Excel, PDF, Word, and SQLite file reading, writing, and querying.
12
MIT
office_docs_mcp
by wkqco33
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TDQS
A3.7/5.0
Scored across 29 tools
Disambiguation5/5
Every tool is clearly namespaced by file type (ppt_, word_, excel_) and uses a specific verb_noun action, so an agent can immediately tell reading from writing, searching from metadata, and cell writes from row appends. Even similar operations like excel_write_cell and excel_write_range are distinct in scope.
Naming Consistency5/5
All tool names follow the same snake_case prefix_verb_noun pattern, with consistent prefixes per document type and consistent verbs like read, write, create, append, delete, and search. There is no mixing of camelCase, bare verbs, or unpredictable naming conventions.
Tool Count4/5
At 29 tools the set is larger than the typical ideal range, but the server intentionally spans three document ecosystems—PowerPoint, Word, and Excel—so roughly 8–11 tools per format is reasonable. Each tool addresses a distinct operation and none feel redundant, though the overall surface is on the heavier side.
Completeness4/5
The toolset covers core lifecycle operations for each format: create, read, search, write/update, and append/modify, with additional capabilities like charts, tables, notes, and sheet management. Minor gaps exist—such as no slide deletion, no Word table creation, and no Excel row deletion—but agents can typically work around these without dead ends.
Maintenance
ActivityMaintained
ResponsivenessNo issues