About mcp-server-flomo MCP Server
mcp-server-flomo is a TypeScript-based MCP server that writes text notes to Flomo. It suits users who want to save notes directly from an AI client.
Key features
- 01write_note tool for saving text notes
- 02TypeScript implementation with build and watch scripts
- 03Configurable through npx in Claude Desktop
- 04MCP Inspector debugging script included
Use cases
- 01Saving content from a Claude Desktop conversation as a Flomo note
- 02Recording ideas or summaries during AI chat sessions
MCP support
The server exposes a write_note tool over stdio to MCP clients, which passes note content to be written to Flomo.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
1Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| content | string | Yes | Text content of the note with markdown format |
Details
From the project READMEmcp-server-flomo MCP Server
write notes to Flomo.
This is a TypeScript-based MCP server help you write notes to Flomo.

Features
Tools
write_note- Write text notes to Flomo- Takes content as required parameters
Development
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
Installation
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %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/"
}
}
}
}
Find Your Flomo_API_URL here
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.