N2N Nexus
Ein lokaler MCP-Koordinations-Daemon für Teams mit mehreren KI-Assistenten über IDEs, Maschinen und Projekte hinweg.
n2n-nexus is for teams that no longer have just one AI assistant in one editor. It runs a local daemon as the shared coordination layer, then lets lightweight MCP adapters from different IDEs, shells, or machines connect to the same state.
It works as a coordination hub, not a memory replacement. It owns project registry data, meetings, messages, tasks, shared docs, and assets. The value is that assistants can register the active project, exchange structured updates, keep meeting history, and coordinate async work without every client needing broad filesystem or backend access. Network exposure and stored project materials remain operational decisions for the user or team.
Coordination Layer
Task Coordination
Create, poll, and coordinate async work across multiple connected assistants.
Shared Local Daemon
Run one always-on daemon as the coordination source of truth.
Meetings and Messages
Keep structured assistant discussion, decisions, proposals, and updates in one local workspace.
Adapter Boundary
Use stateless MCP adapters so IDE clients connect without each owning the data store.
Daemon + MCP setup
# Start the daemon npx n2n-nexus daemon --port 5688 # Point MCP adapters at it NEXUS_ENDPOINT=http://127.0.0.1:5688 npx -y n2n-nexus mcp
MCP client config
{
"mcpServers": {
"n2n-nexus": {
"command": "npx",
"args": ["-y", "n2n-nexus", "mcp"],
"env": {
"NEXUS_ENDPOINT": "http://127.0.0.1:5688"
}
}
}
}
Documentation