Neuromcp runs on your own machine — the client starts it, so there is no endpoint to ping. 403 installs a week from npm. Last commit 15 Oct 2026.
Semantic memory for AI agents with hybrid search, knowledge graph, and consolidation
We read the source, 3 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
postinstall: node scripts/download-model.mjs || true
return execFileSync(cmd, argv, { encoding: 'utf8', ...opts });
for (const [k, v] of Object.entries(process.env)) {
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
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 neuromcp -- npx -y neuromcp
{
"mcpServers": {
"neuromcp": {
"command": "npx",
"args": [
"-y",
"neuromcp"
]
}
}
}
[mcp_servers.neuromcp]
command = "npx"
args = ["-y", "neuromcp"]
{
"mcpServers": {
"neuromcp": {
"command": "npx",
"args": [
"-y",
"neuromcp"
]
}
}
}
{
"servers": {
"neuromcp": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"neuromcp"
]
}
}
}
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Persistent knowledge-graph memory for AI agents, with local semantic search. No API keys.
Neuro-inspired long-term memory for AI agents with semantic graph and consolidation.
Neuro-inspired long-term memory for AI agents with semantic graph and consolidation.
Persistent memory for AI assistants with semantic search and knowledge graph relationships.
Answers built from our own checks of this server.