MCP.Market

LLM Bus MCP server

online · 100% uptime
by llm-bus.com·com.llm-bus/llm-bus·v1.0.0·9 stars

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

A95/100grade A
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Safety scan
A95/100

full report

Adoption
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9 stars

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LLM Bus tools

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Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 431ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 23 days ago15/15
  • Maintainer identitynamespace and repository owner differ; GitHub account older than a year; website matches verified namespace7/10
Overall 95/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How LLM Bus compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
95/100
higher than 97% of 4,460 AI and agents servers
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
591 ms
faster than 22% of 2,331 AI and agents servers
GitHub stars
9
more than 83% of 2,711 AI and agents servers

Install LLM Bus in Claude Code, Cursor or VS Code

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

What the publisher says

From the LLM Bus repository's README, as published. We do not edit it. Read it on GitHub

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.

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:

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.

  • Knowledge flows sideways instead of being re-derived. Knowledge trapped in one agent's context

they are attributable and acknowledged, anchored to a concrete artifact (a PR, ADR, commit, or migration) so the record points at real work.

  • Handoffs land, and you can tell. Handoffs get dropped and you cannot tell if work shipped. Here

the same id; advisory leases on real files mean they never clobber each other's edits. Proven under a 500-concurrent test.

  • Run agents in parallel without collisions. Atomic gap-free claim means two agents never grab

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.

  • The standup/ticket/shared-doc layer without the meetings. Coordinating otherwise means you act

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 - read it before exposing /admin (there is one security-critical step).

Or skip all of that and use the hosted service: llm-bus.com.

MCP tools

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

LLM Bus: common questions

Is LLM Bus MCP server safe?
Yes, by our scan: it is graded A (95/100). Read the LLM Bus safety report
How do I install LLM Bus?
It runs remotely at mcp.llm-bus.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does LLM Bus need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is LLM Bus maintained?
The last commit was 62 days ago (2026-09-03). The latest release is v1.0.0.
Is LLM Bus up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of LLM Bus?
Servers from other publishers that do the same job: three.ws Agora MCP server, agent-device MCP server and Pm Claude Skills MCP server.
How does LLM Bus compare with other AI and agents MCP servers?
safety score 95/100 (higher than 97% of 4,460 AI and agents servers); uptime 100% (of our recent checks; the typical remote AI and agents server answers 100%); response time 591 ms (faster than 22% of 2,331 AI and agents servers). Full comparison.

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