Memory MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Memory MCP Serversave a summary of our discussion about project deadlines"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Memory MCP Server
A Model Context Protocol (MCP) server that brings context cross session for AI Agents
Features
Save Summary: AI Agent can save key points from conversations for future reference via the
save_summarytoolGet Summaries: AI Agent can retrieve past summaries related to the user or session via the
get_summariestool
Related MCP server: Mem0 Memory MCP Server
Usage
Stdio Transport (Default)
Claude Desktop
//use directly with npx
{
"mcpServers": {
"memory":{
"command": "npx",
"args": ["github:stilllovee/memory-mcp-server"]
}
}
}
//or use after clone repo
{
"mcpServers": {
"memory":{
"command": "node",
"args": ["PATH_TO_YOUR_FOLDER"]
}
}
}Github Copilot
//use directly with npx
{
"servers": {
"memory": {
"type": "stdio",
"command": "npx",
"args": ["github:stilllovee/memory-mcp-server"]
},
},
"inputs": []
}
//or use after clone repo
{
"servers": {
"memory": {
"type": "stdio",
"command": "node",
"args": ["PATH_TO_YOUR_FOLDER"]
}
},
"inputs": []
}The server runs on stdio transport and communicates via standard input/output.
Example instruction:
Alway call save_summary tool in the final step of answering the user question. The summary should include key points from the conversation that may be useful for future reference.
When user start a conversation, if you have not called the get_summaries tool yet, call it to retrieve past summaries related to the user or session. If information is related to the current conversation, use this information to inform your current response.HTTP Transport (Streamable)
Start the HTTP server:
# Default port (8123)
npm run start:http
# Custom port
node http-server.js --port=3000The server will be available at: http://localhost:8123/mcp
Github Copilot Configuration (HTTP)
{
"servers": {
"memory-http": {
"type": "http",
"url": "http://localhost:8123/mcp"
}
},
"inputs": []
}Available Tools
save_summary
Save key points from the conversation for future reference.
get_summaries
Get past summaries related to the user or session.
This server cannot be deployed
Maintenance
Related MCP Connectors
Cross-LLM persistent memory: store context once, recall it from any AI model.
Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.
Persistent memory for AI agents — log and recall conversation context over MCP.
Persistent memory for AI agents. Search, store, and recall across sessions.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceProvides AI agents with persistent, searchable memory that survives across conversations using semantic search, temporal versioning, and smart organization. Enables long-term context retention and cross-session continuity for AI assistants.14-
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to store and retrieve memories with user-specific context using Mem0, allowing them to maintain conversation history and make informed decisions based on past interactions.42 npm1ISC
- AlicenseAqualityDmaintenanceProvides persistent session memory for AI assistants, enabling them to store, search, and retrieve conversation summaries across sessions via the Model Context Protocol.10MIT
- AlicenseNot gradedqualityCmaintenanceProvides persistent, cross-session memory for AI agents, allowing them to store and automatically retrieve information across different conversations and sessions without repeating context.9 npm175MIT