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Server Noonien MCP

Shared, serverless, conflict-free memory for AI agents — a multi-machine drop-in for the MCP memory knowledge graph.

Grade A Local · stdio No auth needed 9 tools v1.0.2 · 10 Oct 2026
No reviews yet by sequiconpm 824 Runs on your machine, nothing hosted
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What it does

A drop-in for the official MCP memory server, without the single-machine limit.
server-noonien exposes the same nine tools as @modelcontextprotocol/server-memory — create_entities, create_relations, add_observations, delete_entities, delete_observations, delete_relations, read_graph, search_nodes, open_nodes — and the same entities/observations/relations model, so replacing the "memory" entry in your agent config changes nothing else.
What changes is where the knowledge lives. Each host keeps its own shard and the knowledge graph converges across your machines: through a shared area you already own (a folder synced by Syncthing, Dropbox or git, or an S3-compatible bucket) or peer to peer with the bundled nooniend daemon. No server to run, no cloud account.
State is an LWW-Element-Set over an append-only operation log, so merges are idempotent, commutative and associative: two nodes that have seen the same operations end up identical (property-tested). Convergence is eventual, not real-time.
Install: npx -y server-noonien · Node >= 22 · MPL-2.0. Backends: file, s3 (AWS S3, Cloudflare R2, Contabo, MinIO) and memory. The CLI adds import from an official memory.jsonl, export, merge, compact and query. It speaks the MCP 2026-07-28 and 2025-era revisions and exposes the memory://knowledge-graph resource.

Quickstart

# 1 — add it to Claude Code claude mcp add --scope user server-noonien-mcp '--' npx -y server-noonien # 2 — ask your agent for something these tools do # create_entities, create_relations, add_observations and 6 more

Server Noonien costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.

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