flomo-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@flomo-mcpwrite a note about today's project update"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
flomo-mcp MCP Server
write nodes to flomo
This is a TypeScript-based MCP server that implements a simple notes system. It demonstrates core MCP concepts by providing:
Resources representing text notes with URIs and metadata
Tools for creating new notes
Prompts for generating summaries of notes
Features
Resources
List and access notes via
note://URIsEach note has a title, content and metadata
Plain text mime type for simple content access
Tools
create_note- Create new text notesTakes title and content as required parameters
Stores note in server state
Prompts
summarize_notes- Generate a summary of all stored notesIncludes all note contents as embedded resources
Returns structured prompt for LLM summarization
Related MCP server: Mowen Notes MCP Server
Development
Install dependencies:
npm installBuild the server:
npm run buildFor development with auto-rebuild:
npm run watchInstallation
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": {
"flomo-mcp": {
"command": "/path/to/flomo-mcp/build/index.js"
}
}
}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 inspectorThe Inspector will provide a URL to access debugging tools in your browser.
Available Tools
1 toolwrite_noteC
write note to flomo
| Name | Required | Description | Default |
|---|---|---|---|
| content | Yes | Text content of the note with Markdown formatting |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden for disclosing behavioral traits. It only states the action ('write note to flomo') but does not mention potential side effects (e.g., creating a new note, overwriting existing content), authentication requirements, rate limits, or return behavior. This is minimal and does not add value beyond the tool name.
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 short ('write note to flomo') to the point of under-specification. While it avoids verbosity, it barely adds information beyond the tool name and lacks a complete sentence structure. It is more under-specified than concisely sufficient.
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?
The tool is simple with one parameter and no output schema, so the description need not explain return values. However, the description does not mention what happens on success/failure, response format, or any side effects. It is minimally adequate but leaves gaps that would be important for an agent to know.
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 input schema has 100% description coverage for the single parameter 'content', which fully explains its meaning and Markdown formatting. The tool description itself adds no param details, but since the schema covers everything, the baseline of 3 is appropriate.
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 'write note to flomo' clearly states the action (write a note) and the target (flomo), making it specific enough to convey the tool's purpose. While it doesn't distinguish from siblings because none are listed, it is not a tautology and adds the destination context.
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?
No guidance is provided about when to use this tool versus alternatives, prerequisites, or conditions. The description offers no context for if/when this should be chosen, leaving the agent without usage direction beyond the basic action.
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
v0.1.0- First observed
write_note
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusing it with others. The single tool's purpose is clearly defined as writing a note to Flomo.
The tool name 'write_note' follows a clear verb_noun pattern. Consistency is trivially maintained with only one tool.
A single tool is too few for the apparent scope of a Flomo integration, which would typically include reading, listing, updating, or deleting notes. The server feels under-scoped.
The server only supports writing notes, lacking essential operations like fetching, listing, updating, or deleting notes. This is a significant gap for a note-taking service.
Maintenance
Related MCP Connectors
Connect AI to your flomo notes. Search, create, edit notes and manage tags via MCP.
MCP-native notes and memory for ChatGPT, Claude, and other AI tools.
- TaprootOAuthcom.taproothq
Persistent memory layer for AI tools. Save and recall notes across Claude and other MCP clients.
Save notes in seconds. Your AI can then search, read, write and tag them over MCP.
Related MCP Servers
- -licenseNot gradedqualityNot gradedmaintenanceA simple notes system that allows creating, storing, and accessing text notes through MCP resources and tools, with built-in prompt support for generating summaries of stored notes.-
- AlicenseNot gradedqualityCmaintenanceEnables interaction with Mowen Notes to create, edit, and manage rich text content including file uploads and internal note links. It allows users to manage their notes directly within MCP-compatible environments like Cursor or Claude Desktop.47MIT
- AlicenseAqualityCmaintenanceMCP server for flomo that enables AI tools to quickly add notes to your flomo account via the API.11MIT
- FlicenseBqualityDmaintenanceEnables writing and managing notes to flomo via MCP. Provides tools for creating notes, resources for accessing them, and prompts for summarization.115 npm-