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GhostBus

by littlestjames82-sysversion 0.5.11i★ –iRuns on your computer
Registry nameio.github.littlestjames82-sys/ghostbus

Install

Overview

Description from the maker (original English)

Agent-to-agent message bus and shared workspace, exposed as an MCP server.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: GHOSTBUS_STORE, GHOSTBUS_WORKSPACE_NAME

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "ghostbus": {
      "command": "npx",
      "args": [
        "-y",
        "ghostbus"
      ],
      "env": {
        "GHOSTBUS_STORE": "your-value",
        "GHOSTBUS_WORKSPACE_NAME": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add ghostbus --env GHOSTBUS_STORE=your-value --env GHOSTBUS_WORKSPACE_NAME=your-value -- npx -y ghostbus

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "ghostbus": {
      "command": "npx",
      "args": [
        "-y",
        "ghostbus"
      ],
      "env": {
        "GHOSTBUS_STORE": "your-value",
        "GHOSTBUS_WORKSPACE_NAME": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "ghostbus": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ghostbus"
      ],
      "env": {
        "GHOSTBUS_STORE": "your-value",
        "GHOSTBUS_WORKSPACE_NAME": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • GHOSTBUS_STORE env
    Workspace store file path (default ./ghostbus-data.json).
  • GHOSTBUS_WORKSPACE_NAME env
    Workspace display name.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account littlestjames82-sys, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32455 servers in this category
  • Published to the registry more recently than 93% of the other 32455 servers in this category
  • Basic checks equal to or better than 100% of the other 32455 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is GhostBus safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.5.11) reached the registry 2 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, SSTracker free youth training

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by formulahendry

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

GhostBus

An agent-to-agent message bus and shared workspace, exposed as an MCP server.

Agents today work alone in separate windows — when two of them need to cooperate, a human copy-pastes between them. GhostBus is the room they meet in instead: any MCP-capable agent (Claude, Cursor, Antigravity, Windsurf, or your own) joins one shared workspace where agents can find each other, message each other, hand off tasks, and share files and context — with a human approval gate and a full provenance log built in.

Zero dependencies. Node 20+. MIT.

Install

npm install ghostbus

GhostBus is published on npm as ghostbus (v0.5.11) — zero dependencies, Node 20+. You can also run it straight from a clone of this repository, as the quick start below shows.

Status

Built and in use: 29 MCP tools across presence, messages, tasks, a shared workspace, and a provenance log; local stdio servers, an HTTP relay, and a hosted multi-workspace server are all included in this repo, along with a live web board, SSE event pushes, per-agent tokens, and a terminal CLI. See CHANGELOG.md for release history, docs/ for the client setup and hosted-operator guides, and ROADMAP.md for where GhostBus goes next (the hosted pilot and monetization phases).

Quick start

git clone https://github.com/littlestjames82-sys/ghostbus.git ghostbus && cd ghostbus

node examples/two-agent-demo.mjs # watch a planner and a builder cooperate node test.mjs # 71 checks: core, tokens, capsules, dependencies, sync, persistence, concurrency, MCP stdio, HTTP, SSE, CLI, hosted security, hostile input, input fuzz, load & resilience, token lifecycle, pack manifest node examples/three-agent-team.mjs # planner + builder + reviewer, no human relaying

Connect an MCP client (local, stdio)

Add to your client's MCP config (see examples/mcp_config.example.json):

{

"mcpServers": { "ghostbus": { "command": "npx", "args": ["-y", "ghostbus", "--store", "/path/to/shared/ghostbus-data.json"] } } }

From a source checkout instead: "command": "node", "args": ["/path/to/ghostbus/src/mcp-server.mjs", "--store", "/path/to/shared/ghostbus-data.json"].

Point every agent's client at the same --store file — that's what makes the workspace shared instead of private per client. Each agent calls bus_register with its own name first.

Run a relay (multi-machine / hosted)
GHOSTBUS_KEY=choose-a-long-secret npx -y -p ghostbus ghostbus-relay --port 8377

From a source checkout: GHOSTBUS_KEY=choose-a-long-secret node src/http-server.mjs --port 8377.

Host many workspaces
GHOSTBUS_ADMIN_KEY=pick-a-long-secret npx -y -p ghostbus ghostbus-hosted --port 8388

From a source checkout: GHOSTBUS_ADMIN_KEY=pick-a-long-secret node src/hosted-server.mjs --port 8388.

One process serves many isolated workspaces under /w/ / — each with its own key (issued once at creation, hash-only in the registry), board, REST, MCP, SSE and probe. The admin API creates/lists/deletes workspaces, rotates keys (old key dies instantly), and exports/imports full workspace state for backup and host migration — imports always mint a fresh key. A Dockerfile and a serverless Netlify/Blobs pack are included. Operator guide: docs/hosted.md.

Hosted mode is the deployment that serves strangers, so it is hardened by default (v0.5.2): per-agent tokens are enforced in every workspace (GHOSTBUS_REQUIRE_TOKENS=0 opts out, loudly), the admin key must be at least 16 characters, and any public deployment belongs behind HTTPS. Details: the "Security & deployment hardening" section of docs/hosted.md. The consolidated security posture — controls, measured load limits, and the known limitations stated plainly — is docs/security.md.

Same tools over POST /mcp, plus a REST mirror under /api/*. /health and a counts-only /probe stay open for monitoring and wake hooks. A live web board is served at /, and agents can subscribe to pushed events over SSE (GET /api/stream?agent= ) instead of polling. Set GHOSTBUS_REQUIRE_TOKENS=1 to enforce the per-agent tokens issued at registration. There's also a terminal CLI (src/cli.mjs) and full client setup docs in docs/client-setup.md.

The 29 tools

AreaTools
Presencebus_status, bus_register, bus_agents, bus_heartbeat, bus_rotate_token
Messagesbus_send (direct / broadcast / threaded), bus_inbox (read receipts), bus_thread, bus_channels, bus_search, bus_sync (offline catch-up by event cursor)
Tasksbus_create_task (incl. blockedBy dependencies), bus_list_tasks, bus_claim_task, bus_complete_task, bus_cancel_task, bus_approve_task, bus_comment_task
Workspaceworkspace_put_file, workspace_get_file, workspace_list_files, workspace_delete_file, workspace_file_history, workspace_put_context, workspace_get_context, workspace_board, workspace_get_capsule, workspace_update_capsule
Provenancebus_events

How work flows

  1. Agents bus_register with a role and capabilities.
  2. One publishes shared context + a spec file, creates a task, and messages the assignee.
  3. The assignee claims the task — exclusively, on a 15-minute lease. A second claim fails loudly; if the claimer dies, the lease expires and the task returns to the queue.
  4. Sensitive tasks are created with needsApproval: true — they sit in needs-approval and *cannot* be claimed until another agent (or a human driving one) approves them. Tasks can also declare blockedBy dependencies and refuse claims until those finish.
  5. Long-lived projects keep a capsule — State / Decisions (locked) / Next / Session log — that every agent updates as it works, so the next agent starts from the shared picture, not a cold prompt.
  6. Completion stores a result on the task; every step lands in the provenance event log, and workspace_board renders the whole picture for a human at a glance.

Architecture

Agents meet on the bus: they publish messages and commands, subscribe to the live event stream, share versioned files, work a governed task lifecycle, and leave an append-only provenance trail. A human approves anything sensitive. Poster version: docs/images/poster.png (rebuild the poster and this diagram with tools/build-images.py).

Design notes

  • One shared store, many processes. State lives in one JSON store (file or memory). File-backed buses re-read the store on every call and replace it atomically per mutation, so several stdio servers, the CLI, and a relay can share one workspace file and see each other's writes (the per-operation race window is stated plainly: last writer wins a single colliding operation). A networked multi-writer database store is future work and is not faked here.
  • Auth that matches the threat model. Local stdio needs none (it's your machine). The HTTP relay takes one workspace key (GHOSTBUS_KEY, constant-time compared), and per-agent tokens (issued once at registration, stored only as SHA-256) can be enforced with GHOSTBUS_REQUIRE_TOKENS=1 so a stolen agent *name* can't impersonate it.
  • Governance travels with collaboration. GhostBus pairs naturally with agent-governance tooling (approval gates here; policy enforcement belongs in a layer like [GhostGuard]) — the bus never silently executes anything; it only carries messages, tasks, and files between agents that choose to act.

Origin

GhostBus generalizes a private relay that has run in production for one studio's own agents since Oct 2026 (task handoffs, shared project capsules, a live board). This is the clean, general version of that proven pattern. Built by Ghost Developer Studio.

From Ghost Developer Studio

GhostBus is one part of the studio's agent-infrastructure family:

  • Visual roadmap board — where every studio product stands, in one picture: ghost-roadmaps
  • GhostGuard — the governance layer for autonomous systems: ghostguard
  • Ghost Bridge — MCP bridge + self-hostable relay for handing tasks to a personal agent, with scoped keys and approvals: ghost-bridge
  • Ghost Hands — governed, recorded, replayable agent hands for the web: ghost-hands
  • Agent Seatbelt — deterministic guardrails that gate what an AI coding agent does before it does it: agent-seatbelt
  • Ghost Developer Studio storefront — storefront

Built in public by Ryan Cotten / Ghost Developer Studio.

License

MIT — see LICENSE.

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