Write notes to Flomo using a TypeScript MCP server with easy setup and debugging tools
The mcp-server-flomo MCP Server is a TypeScript-based adapter that enables AI applications to interact with Flomo, a note-taking app for iOS and macOS. By integrating the server into your development environment, you can streamline the process of writing notes directly to Flomo from compatible AI tools such as Claude Desktop.
The mcp-server-flomo MCP Server leverages Model Context Protocol (MCP) to provide a standardized interface for various AI applications. Key features include:
write_note
tool within the MCP Server allows users to input text content and send it directly to Flomo.MCP (Model Context Protocol) is an open standard that supports interoperability between AI applications and data sources. The architecture of the mcp-server-flomo includes:
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
write_note
: This tool is used to send text content directly to Flomo. It requires the API_URL environment variable to function correctly.To set up your development environment, follow these steps:
Install Dependencies:
npm install
Build and Run the Server:
npm run build
npm run watch
Configure MCP Client Integration: Add the server configuration to your MCP client setup, such as Claude Desktop on MacOS or Windows.
graph TB
A[Flomo API] -->|HTTP Request| B[MCP Server]
B --> C[MCP Protocol Flow]
C --> D[AI Application]
style A fill:#e8f5e8
style C fill:#f7f9fa
style D fill:#dae1e4
Imagine a scenario where you are engaged in a complex discussion with colleagues. You can quickly jot down notes directly from your AI application integrated with the mcp-server-flomo MCP Server, ensuring that all important details are captured efficiently.
{
"mcpServers": {
"mcp-server-flomo": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-flomo"],
"env": {
"FLOMO_API_URL": "https://flomoapp.com/iwh/xxx/xxx/"
}
}
}
}
You are part of a remote team meeting with multiple participants. Using the mcp-server-flomo MCP Server, you can collaboratively take and share notes during the session. Each participant can input their notes using AI applications that support MCP, ensuring everyone stays synchronized.
The following table outlines compatibility across different MCP clients:
MCP Client | Resources | Tools | Prompts |
---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ |
Continue | ✅ | ✅ | ❌ |
Cursor | ❌ | ✅ | ❌ |
The mcp-server-flomo MCP Server has been tested and validated for use with specific AI applications. The compatibility matrix helps users understand which features are supported by each client.
graph TD
subgraph Claude Desktop
.[Supports Write Note]
.->
subgraph Continue
.[Partial]
.->
subgraph Cursor
.[No Data Input Support]
To configure the mcp-server-flomo MCP Server, you need to set up environment variables such as FLOMO_API_URL
. Additionally, ensure that your server is secure and protected from unauthorized access.
"env": {
"FLOMO_API_URL": "https://flomoapp.com/iwh/xxx/xxx/"
}
A1: Currently, the mcp-server-flomo MCP Server is specifically designed to work with Flomo. Compatibility with other note-taking applications can be achieved through similar MCP-based servers.
A2: The server employs standard security protocols such as HTTPS to secure data exchange between the AI application and the Flomo API.
A3: Yes, by configuring separate environment variables for each user, multiple users can use the mcp-server-flomo MCP Server concurrently without conflicts.
A4: There is no predefined limit. However, if you exceed usage limits on Flomo's API, you may encounter rate limiting or other restrictions.
A5: Regularly check for updates in both the MCP protocol and client applications to ensure that your mcp-server-flomo is always up-to-date and continues to function seamlessly.
To contribute to or develop with the mcp-server-flomo MCP Server, follow these guidelines:
The MCP ecosystem includes various resources and tools that can enhance your AI application development. Explore the official documentation, forums, and community support channels to stay updated with the latest developments.
By integrating the mcp-server-flomo MCP Server into your AI workflow, you can significantly streamline note-taking processes and improve productivity. With its robust architectural design and integration capabilities, this server is a valuable component for developers working on AI applications that require seamless data exchange with Flomo.
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