Memdata runs on your own machine — the client starts it, so there is no endpoint to ping. 37 installs a week from npm. Last commit 3 Feb 2026.
Persistent memory for AI agents. Store context, retrieve it semantically.
Today is the operative word: we check Memdata every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add memdata -- npx -y memdata-mcp
{
"mcpServers": {
"memdata": {
"args": [
"-y",
"memdata-mcp"
],
"command": "npx"
}
}
}
[mcp_servers.memdata]
command = "npx"
args = ["-y", "memdata-mcp"]
{
"mcpServers": {
"memdata": {
"args": [
"-y",
"memdata-mcp"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"memdata": {
"args": [
"-y",
"memdata-mcp"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
MEMDATA_API_KEY (Your MemData API key (get one at memdata.ai/dashboard/api-keys)).
The author declared them in the registry entry; get the values from the project itself.
Persistent memory for AI agents. Search, store, and recall across sessions.
Model Context Protocol server for AgentRAM. Persistent memory for AI agents.
Persistent memory for AI agents. Infinite context with sub-millisecond recall.
Mem0-compatible persistent memory for AI agents: write facts once, recall them semantically.
Persistent memory for AI agents — log and recall conversation context over MCP.
Encrypted mail, shared memory, and persistent context for AI agents.
Persistent, shared memory for AI agents — facts, checkpoints, semantic search.
Narrow code retrieval for agents: outlines, symbol context, dep graph, persistent memory.
Answers built from our own checks of this server.