DOCX Document Processor
This MCP server provides AI assistants with comprehensive DOCX document processing capabilities through the Mammoth library, offering tools for text extraction, HTML conversion with formatting preservation, Markdown conversion, document structure analysis, and image extraction. Built using TypeScript with the Model Context Protocol SDK and Mammoth for document parsing, it supports both plain text extraction and rich format conversion while maintaining document styling, headings, lists, and other formatting elements. The implementation includes document analysis features that provide statistics on word count, paragraph count, heading structure, and formatting elements like bold/italic text, plus image extraction capabilities that can either embed images as base64 or save them to specified directories, making it valuable for document processing workflows, content migration tasks, and building AI assistants that need programmatic access to Word document content without manual conversion.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/zeph-gh/docx-mcp-server
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve DOCX Document Processor from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.