Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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
LLM Bus
What it does
Coordinate multiple AI agents over MCP: atomic claims, leases, shared ledger, handoffs, tasks.
- Connects Runs in the cloud
- Account or key Sign in to the service when you connect (OAuth)
- Category Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Passed 4/4 checks · What you ask goes through the maker’s server (mcp.llm-bus.com) · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude · about 2 min
No key, nothing to install · Set it up once on claude.ai or the desktop app, then use it in chat · free accounts can add 1 · on Team/Enterprise an Owner adds it
Open Claude’s Connectors page
CustomizeConnectors
Click “Add” → “Custom” → “Web” and fill in these 2 fields
Copy each value into the field with the same name in Claude, then click Continue
Name · NameLLM BusRemote MCP server URL · Addresshttps://mcp.llm-bus.com/mcpClick Continue past the sign-in settings Claude detected · under Authentication choose what the maker says (Sign in now, Sign in when needed or No sign in), then click Add
Turn it on in a chat
+ConnectorsLLM Bus
Try it
Use LLM Bus and tell me what you can do for me, then show me one thing✓ If Claude says it is using LLM Bus or shows a LLM Bus tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with ChatGPT, depending on your plan
Full MCP: ChatGPT Business, Enterprise or Edu on the web · Pro: connects with read/fetch permissions, so tools that change data may not work · Plus: not confirmed in OpenAI’s docs; if you see an add-custom-MCP option on the Plugins page you can try these steps · web only
Open ChatGPT’s add-MCP page on the web
Plugins+Add custom MCP server
Fill in the name and address
Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin
Name · NameLLM BusConnection · Addresshttps://mcp.llm-bus.com/mcpPick LLM Bus in a chat
Start a new chat and pick LLM Bus from your plugins before typing
Try it
Use LLM Bus and tell me what you can do for me, then show me one thing✓ If ChatGPT says it is using LLM Bus or shows a LLM Bus tool in the answer, you are connected
Menu names checked against OpenAI’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Claude Code · about 2 min
No key, nothing to install
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Paste this command and press Enter
claude mcp add --transport http --scope user llm-bus https://mcp.llm-bus.com/mcpType /mcp in Claude Code
You should see LLM Bus listed as connected
Try it
Use LLM Bus and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using LLM Bus or shows a LLM Bus tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor · about 2 min
No key, nothing to install
Open the AI chat in Cursor in Agent mode
Try it
Use LLM Bus and tell me what you can do for me, then show me one thing✓ If Cursor says it is using LLM Bus or shows a LLM Bus tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code · about 2 min
No key, nothing to install
Open the AI chat in VS Code in Agent mode
Try it
Use LLM Bus and tell me what you can do for me, then show me one thing✓ If VS Code says it is using LLM Bus or shows a LLM Bus tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
Address for apps that connect over the web
Address
https://mcp.llm-bus.com/mcpJSON settings are under “For developers” below
For developers: Terminal commands and JSON settings
Over the web
Claude Code
claude mcp add --transport http --scope user llm-bus https://mcp.llm-bus.com/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"llm-bus": {
"url": "https://mcp.llm-bus.com/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"llm-bus": {
"type": "http",
"url": "https://mcp.llm-bus.com/mcp"
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
At a glance
- Downloads per weeki
- Not on npm/PyPI
- Verified domain
- ✓ llm-bus.com
- Connection
- Runs in the cloud
- Transport
- streamable-http
- Latest versioni
- 1.0.0
- Categoryi
- Search & AI memory
- Published to registryi
- Jun 19, 2026
- Code last changedi
- Sep 4, 2026
- Maker
- danieldoderlein
- Website
- llm-bus.com
- Registry status
- Active
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Connect over the internet in
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
Related guides
What it can do
The server asks you to sign in before it lists its tools.
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 14, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain llm-bus.com (the registry checks domain ownership)
- ✓ Pass
Still maintained
Code last changed 2 months ago
- – Not applicable
Has a licence
Not applicable: a cloud server run by the owner of llm-bus.com; you don't run code from the repo
- ✓ Pass
Endpoint responds
Responded in 165 ms (HTTP 401)
- ✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Discussion
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
User reviews
No reviews yet
Compared with others in Search & AI memoryi
- More stars than 91% of the other 6129 servers in this category
- Published to the registry more recently than 16% of the other 6129 servers in this category
- Basic checks equal to or better than 100% of the other 6129 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 4 of 4 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 2 months ago, 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 on the web (full MCP on Business and above; Pro read-only).
What can I use instead?
In the same category: Context7, Codebase Memory, OpenSEO
Others in the same category
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Runs on your computer
OpenSEO
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
Runs in the cloud✓ everyapp.com
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
claimmeans 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-busnpm 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
| Group | Tools |
|---|---|
| Orientation | whoami, guide (the live coordination protocol), whats_new (session digest + cursor), list_projects |
| Handoffs | post (to lane/actor, with ref/tag/links), read_posts - reading a post addressed to you MARKS IT READ; there is no separate ack |
| Tasks | task_create/assign/start/stop/block/resolve/ship/answer/edit/cancel/reopen, task_depend/task_undepend, list_tasks |
| Allocation | claim (collision-free id, bare + qualified), seed_sequence, latest_claims, list_sequences |
| Leases | lease (advisory, reports contention), release, who_holds |
| Presence | register (lane), who_is_active - liveness is implicit (any call refreshes it) |
| Knowledge | query_events (exact filters) |
| Identity / admin | list_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 MCPround-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).