MCP Server Flomo
mcp-server-flomo MCP 服务器
给 Flomo 写便条。
这是一个基于 TypeScript 的 MCP 服务器,可帮助您向 Flomo 写笔记。

特征
工具
write_note- 为 Flomo 写文本注释将内容作为必需参数
Related MCP server: Browser-use MCP Server
发展
安装依赖项:
npm install构建服务器:
npm run build对于使用自动重建的开发:
npm run watch安装
要与 Claude Desktop 一起使用,请添加服务器配置:
在 MacOS 上: ~/Library/Application Support/Claude/claude_desktop_config.json在 Windows 上: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"mcp-server-flomo": {
"command": "npx",
"args": ["-y", "@chatmcp/mcp-server-flomo"],
"env": {
"FLOMO_API_URL": "https://flomoapp.com/iwh/xxx/xxx/"
}
}
}
}在这里找到您的 Flomo_API_URL
调试
由于 MCP 服务器通过 stdio 进行通信,调试起来可能比较困难。我们推荐使用MCP Inspector ,它以包脚本的形式提供:
npm run inspector检查器将提供一个 URL 来访问浏览器中的调试工具。
Available Tools
1 toolwrite_noteC
Write note to flomo
| Name | Required | Description | Default |
|---|---|---|---|
| content | Yes | Text content of the note with markdown format |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'write' which implies a mutation operation, but doesn't specify authentication requirements, rate limits, side effects, or what happens on success/failure. This leaves significant gaps for a tool that creates content.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise at just three words, front-loading the essential information with zero wasted words. It efficiently communicates the core purpose without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a write operation tool with no annotations and no output schema, the description is insufficiently complete. It doesn't address behavioral aspects like authentication, error handling, or what the tool returns, leaving the agent with significant uncertainty about how to properly use this mutation tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 100% description coverage, with the single parameter 'content' clearly documented as 'Text content of the note with markdown format'. The description adds no additional parameter information beyond what the schema provides, meeting the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('write') and target resource ('note to flomo'), providing a specific verb+resource combination. However, with no sibling tools mentioned, there's no opportunity to distinguish from alternatives, preventing a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, prerequisites, or contextual constraints. It simply states what the tool does without offering usage instructions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
v1.0.0- First observed
write_note
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'write_note' has a single, clear purpose that cannot be confused with any other tool in this set.
The naming follows a consistent verb_noun pattern ('write_note'), and with only one tool, there is no inconsistency to evaluate. The pattern is clear and predictable.
A single tool is too few for a note-taking server, as it lacks basic operations like reading, updating, deleting, or searching notes. This minimal set severely limits functionality and will likely cause agent failures in typical workflows.
The tool surface is severely incomplete for a note-taking domain. It only provides write capability, missing essential operations such as get_note, list_notes, update_note, delete_note, and search_notes, which are critical for full lifecycle management.
Maintenance
Related MCP Connectors
Markdown-based note-taking with a hosted MCP server. Your notes serve you and your AI.
Hosted MCP server connecting claude.ai, ChatGPT and other AI apps to your own computer
Connect AI to your flomo notes. Search, create, edit notes and manage tags via MCP.
Google Keep-style notes app with an MCP server for AI agents to read/write notes.
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