mcp-memos
Enables creating memos and attaching files to a Memos instance via MCP tools.
README
[!NOTE] This repository is archived. As of v0.27.0, Memos now includes a native MCP server implementation, making this standalone server unnecessary.
Memos MCP Server
An MCP server for interacting with Memos.
Tools
This MCP server provides the following tools:
create_memo
Create a memo and return the name of the memo.
Parameters
- content (string): The content of the memo in Markdown format.
- visibility (string, optional): The visibility of the memo (private, protected, public).
attach_file
Attach a file to a memo.
Parameters
- memo_name (string): The name of the memo.
- filename (string): The name of the file.
- content (string): Base64 representation of a file or a URL to a file to attach to the memo.
- mime_type (string, optional): The MIME type of the file.
Installation
[!NOTE] You'll need
uvinstalled on your system to useuvxcommand.
For Claude Desktop
Download the latest MCP bundle mcp-memos.mcpb from
the Releases page,
then open the downloaded .mcpb file or drag it into the Claude Desktop's Settings window.
You can also manually configure this server for Claude Desktop.
Edit the claude_desktop_config.json file by adding the following entry under mcpServers:
{
"mcpServers": {
"bear": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/jkawamoto/mcp-memos",
"mcp-memos",
"--endpoint",
"<Memos server address>",
"--token",
"<Your token>"
]
}
}
}
After editing, restart the application. For more information, see: For Claude Desktop Users - Model Context Protocol.
For Goose CLI
To enable the Bear extension in Goose CLI,
edit the configuration file ~/.config/goose/config.yaml to include the following entry:
extensions:
bear:
name: Memos
cmd: uvx
args: [--from, git+https://github.com/jkawamoto/mcp-memos, mcp-memos]
envs: {
"MEMOS_API_ENDPOINT": "<Memos server address>",
"MEMOS_API_TOKEN": "<Your token>"
}
enabled: true
type: stdio
For Goose Desktop
Add a new extension with the following settings:
- Type: Standard IO
- ID: memos
- Name: Memos MCP Server
- Description: An MCP server for interacting with Memos
- Command:
uvx --from git+https://github.com/jkawamoto/mcp-memos mcp-memos - Environment Variables: Add
MEMOS_API_ENDPOINTwith Memos server address andMEMOS_API_TOKENwith your api token
For more details on configuring MCP servers in Goose Desktop, refer to the documentation: Using Extensions - MCP Servers.
License
This application is licensed under the MIT License. See the LICENSE file for more details.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.