Question 1

What is the MCP Server Memo?

Accepted Answer

The MCP Server Memo is a lightweight server that implements the Model Context Protocol (MCP) for managing session memory for Large Language Models (LLMs). It allows you to store, retrieve, and manage conversation history for your AI agents.

Question 2

What is MCP (Model Context Protocol)?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to LLMs, enabling them to access external data sources and tools.

Question 3

How does the MCP Server Memo work?

Accepted Answer

The server uses the local filesystem to store session summaries and their history. It provides MCP tools for creating, retrieving, listing, updating, and appending summaries.

Question 4

What are the key features of MCP Server Memo?

Accepted Answer

Key features include persistent history (all historical versions are preserved), time-ordered organization of sessions, local storage (no external database required), MCP compliance, performance optimization, and minimal dependencies.

Question 5

What MCP tools are provided by the server?

Accepted Answer

The server provides the following MCP tools: `upsertSummary`, `getSummaryTool`, `listSummariesTool`, `updateMetadata`, `appendSummary`, `listAllSummariesTool`, and `getSessionHistory`.

Question 6

What is `sessionId` and how should I use it?

Accepted Answer

`sessionId` is a unique identifier for a conversation session. The client application is responsible for generating this ID once at the beginning of a new logical conversation session, preferably using a UUID (Version 4) library. The same ID must be reused for all subsequent calls related to that session.

Question 7

How do I install MCP Server Memo?

Accepted Answer

You can install it by cloning the repository, installing dependencies using `npm install`, and building the project with `npm run build`.

Question 8

How do I configure the server?

Accepted Answer

The server can be configured using environment variables, such as `MCP_SUMMARY_DIR`, to specify the directory for storing summaries.

Question 9

How do I run the server?

Accepted Answer

You can run the server using `npm start` for standard startup, `npm run dev` for development mode with auto-reload, or `npm run start:log` to start with logging to a file.

Question 10

Can I use an external database instead of the local filesystem?

Accepted Answer

Currently, the MCP Server Memo is designed to use the local filesystem. Support for external databases is not yet available but may be considered for future releases.

Question 11

How does `appendSummary` work?

Accepted Answer

The `appendSummary` tool reads the existing latest summary (if any), adds two newlines, appends the new content, and saves it as a new version. All previous versions are preserved.

Question 12

What is UBOS and how does it relate to MCP Server Memo?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform that helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems. The MCP Server Memo can be used as an asset within the UBOS platform to enhance the context management capabilities of your AI Agents.

Question 13

Where can I find more information about the MCP protocol?

Accepted Answer

You can find more information about the Model Context Protocol (MCP) on the official MCP website or related documentation.

Memo Server for Session Memory Management

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