AppFlowy MCP Server
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- AlicenseAqualityCmaintenanceEnables AI agents to read and write a self-hosted AppFlowy instance, decoding its Yjs CRDT pages into Markdown.5MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to directly read, write, and manage Feishu documents, spreadsheets, and multi-dimensional tables. It supports automated documentation tasks and rich text management, including Mermaid diagrams and image uploads.1812 npm2MIT
- AlicenseAqualityDmaintenanceConnects AI assistants to the Unmarkdown API to convert markdown into styled documents for platforms like Google Docs, Word, and Slack. It also enables users to create, manage, and publish documents to shareable public URLs directly within their workspace.729 npm1MIT
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- FlicenseBqualityDmaintenanceEnables programmatic generation of Microsoft Word documents (.docx) from AI-generated text and data, with support for Markdown formatting, tables, headers, and rich document elements that are saved directly to the local file system.1-
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap with other tools. The tool's purpose is clearly defined as uploading document content to AppFlowy with Markdown parsing.
The single tool name 'upload_document_to_appflowy' follows a clear verb_noun pattern and is descriptive, so consistency is inherently perfect as there are no other tools to compare against.
A single tool is too few for a server named 'AppFlowy MCP Server', which suggests broader functionality for interacting with AppFlowy. This minimal set feels thin and incomplete for the apparent scope of document management or collaboration.
The tool surface is severely incomplete for an AppFlowy integration. It only allows uploading documents, with no tools for reading, updating, deleting, searching, or managing documents, creating significant gaps that will cause agent failures in typical workflows.