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hutusi
by hutusi

flomo-mcp MCP Server

write notes 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:// URIs

  • Each note has a title, content and metadata

  • Plain text mime type for simple content access

Tools

  • create_note - Create new text notes

    • Takes title and content as required parameters

    • Stores note in server state

Prompts

  • summarize_notes - Generate a summary of all stored notes

    • Includes all note contents as embedded resources

    • Returns structured prompt for LLM summarization

Related MCP server: flomo-mcp

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": {
    "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 inspector

The Inspector will provide a URL to access debugging tools in your browser.

Available Tools

1 tool
write_noteC

Create a new note

ParametersJSON Schema
NameRequiredDescriptionDefault
contentYesText content of the note

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals that the tool creates a note, but does not mention side effects, whether content is overwritten or appended, permissions required, failure behavior, or what response is returned. For a write operation this is a meaningful transparency gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no filler or redundant words. It is front-loaded and easy to parse, though it is arguably under-specified rather than meaningfully structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations, no output schema, and no explanation of return values or post-conditions, the description is thin. The input is simple and fully documented, so the tool is callable, but an agent does not know what happens after the note is created or what the tool returns.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with the 'content' parameter already described as 'Text content of the note.' The description adds no parameter-level meaning, but the schema fully documents the only parameter, so a baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Create a new note.' It is clear and unambiguous about the core action, and with no sibling tools named, there is no differentiation burden. However, it offers little beyond restating the tool name and does not add any context about what a 'note' is or where it is stored.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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, what prerequisites exist, or when an alternative might be preferable. Since there are no sibling tools, there is no routing context, but the lack of any usage context still leaves the agent to infer appropriateness entirely from the tool name and description.

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. 1 tool updatev0.1.0
    • First observedwrite_note

TDQS

B3.1/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion between tools. The single tool has a clear, unique purpose.

Naming Consistency5/5

The tool name 'write_note' follows a consistent verb_noun pattern, which is clear and predictable even as a standalone.

Tool Count2/5

A single tool for a Flomo integration feels insufficient for the apparent scope of a note-taking service. Most such servers would include at least retrieval or management operations, making this too few.

Completeness2/5

The tool surface is severely limited, providing only note creation with no ability to read, update, delete, or list notes. This leaves obvious gaps that would prevent agents from performing common workflows.

Maintenance

ActivityInactive
ResponsivenessNo issues

Related MCP Connectors

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