Overview

The Mcp Server Memos plugin bridges the powerful Model Context Protocol (MCP) with the lightweight note‑taking platform Memos. It enables AI assistants—such as Claude—to interact with Memos directly from within their conversational interface, turning a simple text editor into an intelligent knowledge hub. By exposing Memos’ core operations as MCP tools, developers can embed contextual search and memo creation into AI‑driven workflows without writing custom API wrappers.

What Problem Does It Solve?

Modern teams often juggle disparate tools for brainstorming, documentation, and knowledge sharing. Memos provides a minimalistic yet featureful note system, but its API is not natively understood by AI assistants. The MCP server translates Memos’ REST endpoints into standardized tools, allowing an assistant to query or add notes as if they were built‑in commands. This eliminates the friction of switching contexts, ensuring that ideas can be captured or retrieved instantly while a conversation is ongoing.

What the Server Does

• Search: The tool accepts a keyword or phrase and returns relevant notes, optionally filtered by tags.
• Create: The tool lets the assistant generate a new memo with a title, content, and optional tags.
• Environment‑Driven Configuration: The server reads , , and a default tag from environment variables, making it easy to adapt across environments.
• MCP Compatibility: By conforming to the MCP schema, it can be discovered and invoked by any compliant client, such as Claude Desktop or other AI assistants that support the protocol.

Key Features & Capabilities

• Seamless Integration: Plug into existing AI workflows with a single command; no need for custom adapters.
• Contextual Knowledge Retrieval: AI can surface relevant memos during a conversation, providing background or referencing prior decisions.
• Rapid Note Capture: While discussing ideas, the assistant can create memos on‑the‑fly, ensuring nothing is lost.
• Tagging Support: Default tags (e.g., ) keep AI‑generated notes organized automatically.
• Secure Credentials: API keys are supplied via environment variables, keeping secrets out of code.

Use Cases & Real‑World Scenarios

• Product Management: Capture sprint notes or feature requests directly from a chat with stakeholders.
• Research Collaboration: Pull in relevant literature summaries or prior findings while brainstorming.
• Knowledge Base Maintenance: Let an AI assistant update documentation in Memos based on user queries.
• Personal Productivity: Store quick thoughts or to‑do items without leaving the AI interface.

Unique Advantages

• Zero Boilerplate: No need to write custom connectors; the MCP server handles all communication.
• Extensibility: Additional Memos endpoints can be exposed with minimal effort, expanding the assistant’s capabilities.
• Open‑Source & Lightweight: Built on and Python, the server runs with low overhead, making it suitable for local or cloud deployments.

By turning Memos into an AI‑friendly data source, the Mcp Server Memos plugin empowers developers to create richer, more contextually aware assistant experiences with minimal integration effort.