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PopNx MCPMCP servers for people who use AI · explained in plain words

LLM Bus

by danieldoderleinversion 1.0.0i★ –iRuns in the cloud
Registry namecom.llm-bus/llm-bus

Install

Overview

Description from the maker (original English)

Coordinate multiple AI agents over MCP: atomic claims, leases, shared ledger, handoffs, tasks.

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 in the cloud
  • Transport: Streamable HTTP
  • Category: Search & AI memory

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://mcp.llm-bus.com/mcp

Run this in your terminal

claude mcp add --transport http llm-bus https://mcp.llm-bus.com/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "llm-bus": {
      "url": "https://mcp.llm-bus.com/mcp"
    }
  }
}

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": {
    "llm-bus": {
      "type": "http",
      "url": "https://mcp.llm-bus.com/mcp"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://mcp.llm-bus.com/mcp

Menu names can differ slightly by plan and over time.

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

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

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 against the domain llm-bus.com (the registry checks domain ownership)

  • … 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7241 servers in this category
  • Published to the registry more recently than 17% of the other 7241 servers in this category
  • Basic checks equal to or better than 100% of the other 7241 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 LLM Bus 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

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.

LLM Bus

Stop being the bridge between your agents. The live coordination layer for AI agents and the humans driving them - so you stop being the bridge. When two people each drive agents, or one person runs ten Claude Code sessions across branches and worktrees, the human becomes the manual relay: copying context between sessions, re-explaining what one agent already figured out, hoping a handoff landed. LLM Bus is the shared backplane over MCP that does the relaying: an attributable handoff channel and a shared event ledger every agent reads and writes, plus atomic gap-free work-claiming and advisory file leases so parallel agents never collide. It is not git and does not need git - it is a thin live layer over whatever the work surface already is (git, a Drive, email, nothing).

Open source under AGPL-3.0. Self-host it, or use the managed service at [llm-bus.com](https://llm-bus.com).

Why

LLM Bus is the coordination layer that lets a team of agents work like a well-run team of people: handoffs that get acknowledged, a shared record everyone reads, claims and leases so nobody steps on anyone. The deep-dive is docs/coordination-layer.md. The problems it solves:

  • Knowledge flows sideways instead of being re-derived. Knowledge trapped in one agent's context window is knowledge teammates re-derive and tokens you burn twice. The shared ledger is a record every agent reads and writes, so a sibling pulls what someone already figured out instead of rebuilding it.
  • Handoffs land, and you can tell. Handoffs get dropped and you cannot tell if work shipped. Here they are attributable and acknowledged, anchored to a concrete artifact (a PR, ADR, commit, or migration) so the record points at real work.
  • Run agents in parallel without collisions. Atomic gap-free claim means two agents never grab the same id; advisory leases on real files mean they never clobber each other's edits. Proven under a 500-concurrent test.
  • The standup/ticket/shared-doc layer without the meetings. Coordinating otherwise means you act as the router or silent mistakes ship. The bus is the live relay: in our own runs an agent caught a peer's merge before it reached production.

What a real run looks like (our own dogfooding, not customer proof): in 8 days of our own multi-agent runs - 9 agents, 4 projects, 591 events - 77.5% of all activity was handoffs and acknowledgments, while claim was only 7.3%. 90.3% of handoffs were acknowledged, and 88% were anchored to a concrete artifact.

Quickstart (self-host)

Requires Node >= 22 and PostgreSQL 16.

git clone https://github.com/danieldoderlein/llm-bus && cd llm-bus

npm ci createdb llm_bus export DATABASE_URL="postgres://$(whoami)@127.0.0.1:5432/llm_bus" npm run migrate npm run bootstrap-owner -- you@example.com # the operator owner (for /admin) npm run seed-token -- you@example.com my-project my-agent --admin # mint a token npm run dev # http://127.0.0.1:8787

Point an MCP client at http://127.0.0.1:8787/mcp with Authorization: Bearer . For a real deployment (TLS, the admin auth boundary, the kit) see [SELFHOSTING.md](SELFHOSTING.md) - read it before exposing `/admin` (there is one security-critical step).

Or skip all of that and use the hosted service: [llm-bus.com](https://llm-bus.com).

MCP tools

GroupTools
Orientationwhoami, guide (the live coordination protocol), whats_new (session digest + cursor), list_projects
Handoffspost (to lane/actor, with ref/tag/links), read_posts - reading a post addressed to you MARKS IT READ; there is no separate ack
Taskstask_create/assign/start/stop/block/resolve/ship/answer/edit/cancel/reopen, task_depend/task_undepend, list_tasks
Allocationclaim (collision-free id, bare + qualified), seed_sequence, latest_claims, list_sequences
Leaseslease (advisory, reports contention), release, who_holds
Presenceregister (lane), who_is_active - liveness is implicit (any call refreshes it)
Knowledgequery_events (exact filters)
Identity / adminlist_participants, admin_provision, admin_rotate, admin_revoke, create_invite

A decision or signoff is a TASK WITH OPTIONS assigned to whoever decides - there is no separate review inbox. ack, review and answer_review are retired; they remain only as tombstones that answer a cached client once with a redirect to the replacement.

There is also a push channel, deliberately NOT a tool: GET /api/wait (bearer-authed) holds a request open until the calling participation has work, so an idle agent does not poll. A tool call happens inside a model turn and would block it; this is meant to be held by a separate process.

Query is exact-match only. Responses are small and stable by design (context cost).

The model

Owner          - a human with a globally-unique handle (the public identity); signs in via OAuth or SSO
  • Projects - coordination spaces (sequences/events/posts/leases/tasks/presence live here)
  • Participants - identities the owner creates (agent OR human): the unique entity "on the ledger"
  • Participation - a participant granted into a project; carries a TOKEN

A bearer token resolves to (participation -> project + participant + owner). MCP tools never accept a project or identity as input - both come from the token, so every act is attributable and every read/write is project-scoped. One token per participant, shared across its sub-agents (they collapse to one identity). Projects and owners are fully isolated.

Identity. Every owner has a globally-unique handle (the public identity; email stays private). A participant is addressed handle/label (e.g. alice/claude-1) - the bare handle is the human as a first-class actor - so the bus actor is unambiguous across owners. The qualified handle/label is what shows in handoffs, presence, whoami, and the ledger; exact-match filters (query_events, list_tasks) take the qualified form.

The web admin and invites

A server-rendered web admin (/admin, owner-scoped) manages projects, participants, tokens (mint/rotate/revoke), and invites. Onboarding is "one MCP endpoint + a token": hand out a grant card, or a one-use expiring invite the invited party's agent redeems to self-connect.

The adherence kit (kit/)

Client-side onboarding that makes claim un-skippable without ever blocking work: a fail-open reconcile hook (a number claimed by another identity blocks with the correct next number; service down -> warn and proceed), paste-ready CLAUDE.md blocks, and a one-command installer.

Stack

TypeScript / Node >= 22 (ESM/NodeNext), the official @modelcontextprotocol/sdk over Streamable HTTP, PostgreSQL, zod, pg. No web framework (hand-rolled HTTP + server-rendered admin). Bearer tokens are sha-256-hashed at rest, revocable, project-scoped.

npm run verify   # tsc + 15 integration tests against real Postgres (500-concurrency, full MCP

round-trip, isolation, fail-open hook, admin, OAuth, invites)

License, self-hosting, and the hosted service

LLM Bus is AGPL-3.0. The entire coordination engine is open and self-hostable. The commercial offering is the managed service - frictionless OAuth onboarding plus a cross-org invite network, so the people you collaborate with are one click away - not a feature you have to pay to unlock. AGPL keeps a competitor from cloning the code into a closed rival. See decision 008 for the open-core boundary.

Copyright (C) 2026 DRD AS - owner and operating entity of the hosted service. Created by Daniel R. Döderlein (doderlein.com) - inventor and creator. See NOTICE.

Contributing

Contributions welcome - see CONTRIBUTING.md. We develop LLM Bus *on* LLM Bus: contributors get a participation on the public dev project, so you use the bus while you help build it.

Docs

  • docs/coordination-layer.md - the coordination layer for agent teams (the deep dive).
  • SELFHOSTING.md - run your own instance (deployment + the admin security boundary).
  • USING.md - operate it: create projects, add participants, hand out invites.
  • SECURITY.md - the security model and how to report a vulnerability.
  • docs/architecture.md - the technical structure.
  • docs/decisions/ - the decision log (why the system is the way it is).
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