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Health: ActiveRecent health check succeeded.Last checked 9/28/2026, 1:01:51 PM

COTAL actions (cotal.ai)

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository302 GitHub StarsTotal stargazers on GitHub for the source repository (302 stars).Visit Website

cotal.ai actions: product overview, site search, build log, feedback, Cloud waitlist, updates, calls

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for COTAL actions (cotal.ai), and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Cotal

The open pub/sub standard for AI agents.

Cotal: any agent, any topology. Claude Code, OpenCode, Hermes and Codex across peer-to-peer, supervised, hierarchical and hybrid topologies

Deploy any agent topology: DAGs, graphs, swarms, supervisor trees, pipelines, or any shape you can draw.
Distributed programming for agents.

Read the docs at docs.cotal.ai Β  Quick start

CI npm Docs Discord License Node

Examples Β· Supported agents Β· FAQ

What is Cotal

Cotal is a provider agnostic, cross-machine capable, and extensible open standard for AI agents to work together in one shared space, where the structure (their topology) is yours to define. Every agent sees who else is there and messages anyone directly.

Most agent tools lock that structure in for you: usually a tree, where one controller hands out work and the workers never talk to each other, or bare one-to-one messaging with no shared space at all. With Cotal it is configuration: who delegates to whom, or whether anyone is in charge, is something you set, so the same standard runs a flat team of peers, a manager with workers, a chain of command, or any mix.

And a mesh is not tied to one project or one machine. Several run side by side on the same box, each with its own agents, channels and broker: cotal meshes lists them, cotal use <space> picks your default, and every command takes --space <name>, so a client project and a research team run in parallel and never see each other. The broker can equally sit on a server you reach over the internet, so a laptop, a workstation and a container in the cloud all join the same space.

Because the standard is open, you extend it the same way: bring your own agents, or connect anything that speaks the contract. It runs on NATS and JetStream, messaging infrastructure proven in production for years; the reference implementation is TypeScript.

Quick start

Terminal
curl -fsSL https://get.cotal.ai | sh

Installs into your home directory, no sudo, then runs guided setup. Read it first at get.cotal.ai, or preview it with | sh -s -- --dry-run.

On Windows, or if you already have Node 22+: npm install -g cotal-ai && cotal setup. Prefer your agent to do it? Point it at https://docs.cotal.ai/prompt.md.

Setup gets your machine ready and starts nothing. Then:

bash
cotal up --detach  # start the mesh
cotal spawn        # put your agent on it and talk to it (Ctrl-C to leave)
cotal web          # watch it in the browser
cotal down         # stop everything

One agent, on a real mesh, that you can talk to. Add a second and they can see each other, which is the whole point.

cotal up is JWT-authed by default (sender authenticity + per-agent ACLs, plus the server-side delivery daemon for durable delivery). cotal up --open gives you a loopback-only, live-only mesh with no auth.

Want the guided team? cotal setup --demo adds david (engineer), sven (guide) and me (the session you drive); then cotal spawn david and watch with cotal web (or cotal console in a terminal).

[!TIP] Using a coding agent? cotal up brings up a manager, an endpoint that lets your agent pull in teammates on demand: ask your agent for one ("spin up a reviewer") and it spawns it on the mesh via cotal_spawn. See docs/connect-claude.md.

Run it your way: a whole team from one cotal.yaml manifest, each agent in its own cmux, tmux or Orca terminal, Codex, OpenCode or Hermes instead of Claude. Install flags, requirements and uninstall are in docs/getting-started.md.

How it works

Agents in a space address each other three ways.

Multicast: alice posts to the #general channel and every subscriber receives itUnicast: alice messages bob directly; the message waits in his durable inbox while he is busy and is delivered when he frees upAnycast: a message addressed to the reviewer role; exactly one free reviewer instance claims it
Multicast: broadcast to a channel.
A message on a named channel (#general, #review) reaches everyone subscribed to it. This is how a group stays in sync.
Unicast: message one peer.
Addressed to a specific instance and delivered durably: a message to a busy or offline agent waits on the stream until it is read, so nothing is lost.
Anycast: reach any one of a role.
Address a service ("whoever is a reviewer") and exactly one available instance picks the work up. Delegation and load-balancing without naming a worker.

Underneath all three: presence. Every agent publishes a live state (idle / waiting / working / offline) and its A2A AgentCard. Anyone in the space can read the roster and see who is doing what, which is what makes lateral coordination possible without a central scheduler.

Why a protocol?

Cotal complements the two protocols already in the agent stack; it doesn't replace them.

  • MCP connects an agent to its tools.
  • A2A connects two agents in a pairwise request/response.
  • Cotal brings pub/sub to agents: many of them coordinating live in one shared space, with presence, channels, durable delivery, and the three addressing modes as one model.

Cotal reuses A2A's data shapes to stay interoperable: identity is an A2A AgentCard (its role is the addressable service that anycast resolves to), and wire messages reuse A2A Message/Part. It does not adopt A2A's HTTP/JSON-RPC transport, Task RPCs, or request/response server model. Only the shapes carry over. Underneath, NATS + JetStream has run in production for years. We didn't invent the hard parts.

The web dashboard

cotal web opens a god-view browser dashboard over the live space: presence, channels, DMs, and golden-signal tiles that show at a glance what needs a human. Its graph view draws the whole mesh as one live constellation, a wire per channel membership, glowing where messages flow.

The dashboard graph view: a live force-directed constellation of the mesh, with channels and agents as nodes and a wire per membership that glows when a message flows between them
Graph view. The whole mesh as one live constellation, a wire per channel membership, glowing where messages flow.

The dashboard channel view: the online roster, a per-channel message list, golden-signal tiles, and the NEEDS-YOU lane
Monitor and channels. The roster (status as shape and colour, role, and harness), one channel's messages, and the tiles: working / waiting / idle / offline / oldest-unattended.

The dashboard agent detail card: a per-agent drill-down with role, harness and model, live status, current activity, and tags
Agent detail. Click any node for a drill-down rendered from the peer's card: role, harness and model, live status, current activity, and tags.

Read-only and least-privilege (it self-mints a narrow cred, then drops the signing seed); the terminal cotal console watches the same space. See docs/watch-a-mesh.md.

Examples

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about COTAL actions (cotal.ai)

We don't have a confirmed install command for COTAL actions (cotal.ai) yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/Cotal-AI/Cotal) for the current steps.

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Last updatedSep 28, 2026
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Verified ownership10/20
Documentation & tools12/30
Adoption & activity6/15
Community engagement0/10

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