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: Recall
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
Persistent memory for AI agents to retain, retrieve, and recall conversation context through MCP.
Persistent memory for AI assistants: store, search, and connect knowledge across conversations.
Bring your saved preferences, project decisions, and useful context into your next AI conversation.
Cross-LLM persistent memory: store context once, recall it from any AI model.
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 gradedqualityBmaintenanceProvides persistent, cross-session memory for AI agents, allowing them to store and automatically retrieve information across different conversations and sessions without repeating context.45 npm176MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to share a local, searchable context store with summary-first reads, so a new agent can resume a long-running task at a flat token cost without re-reading prior history.1-
- AlicenseNot gradedqualityAmaintenanceEnables Claude and other AI agents to store decisions, patterns, and knowledge once and retrieve relevant context automatically across sessions, surviving context limits, restarts, and compaction.4 npmMIT