Vibedonate runs on your own machine — the client starts it, so there is no endpoint to ping. 51 installs a week from npm. Last commit 4 Sep 2026.
BitTorrent-style mesh for AI inference across agentic CLIs. Local-first.
We read the source, 21 h ago · rules 3dff92dd89df
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.
const m = /^(\d+(?:\.\d+)?)([km])?$/i.exec(input.trim());
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 vibedonate -- npx -y vibedonate
{
"mcpServers": {
"vibedonate": {
"args": [
"-y",
"vibedonate"
],
"command": "npx"
}
}
}
[mcp_servers.vibedonate]
command = "npx"
args = ["-y", "vibedonate"]
{
"mcpServers": {
"vibedonate": {
"args": [
"-y",
"vibedonate"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"vibedonate": {
"args": [
"-y",
"vibedonate"
],
"command": "npx"
}
}
}
Local-first, cross-harness memory for AI coding agents.
Dating by tokens, matched by usage league across agentic CLIs. Local-first.
Local-first web intelligence MCP server for AI coding agents
Local-first codebase intelligence MCP server for AI coding agents.
Session memory for coding agents: local-first recall, drift detection, on-device inference.
Local-first AI CLI usage analytics for agents.
Local-first miniature-paint inventory and cross-brand color matching for AI agents.
Local-first document management and semantic search for AI coding agents
Answers built from our own checks of this server.