MS Word
This MCP server implementation, developed for Microsoft Office document manipulation, provides a Python-based interface for AI assistants to interact with Word documents. Built using libraries like python-docx and leveraging the Model Context Protocol, it offers tools for reading, writing, and editing .docx files, including handling of text, tables, and images. The implementation focuses on efficient document processing, making it easier for AI models to analyze and generate content in Word format. It's particularly useful for automating document creation, content analysis, or report generation tasks that require working with structured Word documents, enabling AI to manipulate Office files without needing deep knowledge of the underlying file formats.
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/famano/mcp-server-office
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve MS Word 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.