MCP Server Flomo
Servidor MCP flomo
Escribe notas a Flomo.
Este es un servidor MCP basado en TypeScript que le ayuda a escribir notas en Flomo.

Características
Herramientas
write_note- Escribe notas de texto en FlomoToma el contenido como parámetros obligatorios
Related MCP server: Browser-use MCP Server
Desarrollo
Instalar dependencias:
npm installConstruir el servidor:
npm run buildPara desarrollo con reconstrucción automática:
npm run watchInstalación
Para utilizar con Claude Desktop, agregue la configuración del servidor:
En MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json En 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/"
}
}
}
}Encuentra tu Flomo_API_URL aquí
Depuración
Dado que los servidores MCP se comunican a través de stdio, la depuración puede ser complicada. Recomendamos usar el Inspector MCP , disponible como script de paquete:
npm run inspectorEl Inspector proporcionará una URL para acceder a las herramientas de depuración en su navegador.
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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