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6 months ago
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2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"leslieleung-mcp-server-memos": {
"command": "uvx",
"args": [
"memos-mcp-server"
],
"env": {
"MEMOS_URL": "https://memos.example.com",
"DEFAULT_TAG": "#mcp",
"MEMOS_API_KEY": "your_api_key"
}
}
}
}You are using a MCP server that enables models to interact with Memos by searching memos and creating new ones. This server exposes practical actions you can perform through your MCP client, streamlining memo management within conversations and AI workflows.
How to use
Connect your MCP client to the Memo MCP Server to perform actions like searching memos with keywords and creating new memos. Once connected, you can issue the supported actions through your client interface and receive structured memo results to inform your workflows.
How to install
Prerequisites you need before installation: Node.js installed on your system. A MCP client capable of consuming an MCP server over the stdio connection is assumed.
Install the Memo MCP Server configuration via your preferred setup flow. Use the stdio-based runtime configuration shown in the example to run the server locally with your client.
Configuration and usage notes
The Memo MCP Server runs as a local stdio process that your MCP client can spawn and communicate with. The server is started with the runtime command and environment variables shown in the example configuration.
Available tools
search_memos
Search memos by keyword to retrieve matching memos from the Memo service.
create_memo
Create a new memo in the Memo service with provided content and metadata.