COTAL actions (cotal.ai)

Name: COTAL actions (cotal.ai)
Author: Cotal-AI

by Cotal-AIversion 1.1.0i★ 381iRuns in the cloud

Registry nameai.cotal/cotal

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi4 of 4 passedChecked from public information; code not scanned yet
UsageiEarly★ 381

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.

You need

Runs in the cloudNothing to install; it connects over the internet

Claude DesktopClaude CodeCursorVS Code

Open Claude Desktop → Settings → Connectors → Add custom connector, and paste this address

https://cotal.ai/mcp

Run this in your terminal

claude mcp add --transport http cotal https://cotal.ai/mcp

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

{
  "mcpServers": {
    "cotal": {
      "url": "https://cotal.ai/mcp"
    }
  }
}

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "cotal": {
      "type": "http",
      "url": "https://cotal.ai/mcp"
    }
  }
}

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

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 5, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain cotal.ai (the registry checks domain ownership)
✓ Pass
Still maintained
Code last changed today
✓ Pass
Has a licence
Uses Apache-2.0
✓ Pass
Endpoint responds
Responded in 877 ms (HTTP 200)
– Not applicable
Sign-in with OAuth
No sign-in needed
… Not checked yet
No hidden instructions in tool descriptions
Needs the server’s tool list first; this check starts in the next step

Compared with others in Search & AI memoryi

More stars than 50% of the other 10 servers in this category
Published to the registry more recently than 40% of the other 10 servers in this category
Basic checks equal to or better than 100% of the other 10 servers in this category

Compared only with servers in this prototype, not the whole registry.

Common questions

Is COTAL actions (cotal.ai) 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 today, and the latest version (1.1.0) reached the registry 2 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 2 days ago

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 19 days ago

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated 43 days ago

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.

The open pub/sub standard for AI agents.

Connect agents across applications and machines.

Choose the topology that fits your team.

Live demo · Examples · Supported agents · FAQ

What is Cotal

Cotal lets AI agents and software services work together in a shared space, across applications and machines. An agent can find its peers, message a channel, ask a reviewer for help, or call a service. You choose who delegates to whom.

Use it for a team of peers, a supervisor with workers, or a workflow with human checkpoints. Agents can join from a laptop, a workstation or a remote host. Separate spaces keep projects and their permissions apart.

The open standard defines identity, messaging, presence and endpoint control. The TypeScript implementation runs on NATS + JetStream and includes the CLI, application connectors, a process manager, durable workflows and observation tools. Read the overview.

Quick start

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

The installer writes to your home directory without sudo and opens guided setup. You can read the script first or preview it with | sh -s -- --dry-run.

On Windows, or with an existing Node 22.10+ installation:

npm install -g cotal-ai

cotal setup

Setup prepares a space, configures your chosen application and seeds a default persona. It asks separately whether to start. To prepare only, use cotal setup --configure-only. If you leave startup for later, run these from the project folder:

cotal up           # start the local mesh, delivery daemon and manager in the background

cotal spawn # open your agent in this terminal

In another terminal, cotal console shows the team and its messages. Press Ctrl-P to open its command palette and launch another agent. You can also launch one directly with cotal spawn --detach. Ask either agent to introduce itself to its peers.

cotal down stops the local stack. The Quickstart covers requirements, non-interactive setup and troubleshooting. Prefer your coding agent to do the setup? Give it https://docs.cotal.ai/prompt.md.

The CLI sends usage telemetry by default. Disable it with cotal telemetry off. See what is sent.

Choose how to work

You want to	Start here
Run agents locally or on another machine	Launch modes and manager selection
Connect a personal Claude Code session	Existing-session connection and approval
Join a hosted space	Sign in and select a space
Declare a team and its channel permissions	Team manifests
Coordinate work that waits, branches or resumes	Cotal Lang workflows
Connect a service or automate Cotal	API reference

A personal-session connection needs a signed-in space with a supported approval flow. The approval explains its permissions and activity sharing. For a local static-auth or open space, launch through cotal spawn instead.

Supported agents

Claude Code plugin + native hooks

OpenCode in-process plugin

Codex app-server + TUI

Hermes gateway + plugin Jcode Harness API + TUI

pi native extension

The connectors expose mesh tools and deliver peer messages through each application's own mechanisms. Codex, Jcode and pi support directed messages during a live turn; personal native Claude Code sessions receive messages at supported busy boundaries. Resume, events and tool-sharing support differ by application. The connector matrix lists the details and maturity levels.

Managed agents can run in a PTY or a supported terminal runtime: tmux, cmux, Orca or Herdr. See runtimes for installation and availability.

Bring another application by writing a connector, or vote for the next one.

How it works

Each participant has an identity and reports its presence. Messages have three destinations:

Multicast reaches the subscribers of a channel such as #review.
Unicast addresses one peer directly.
Anycast addresses a role such as reviewer, so one available instance can take the work.

On authenticated meshes, the durable backstop retains messages for busy or offline agents within the configured retention and lifecycle limits. Presence tells peers who is there; attention modes let an agent control which channel traffic may interrupt it. A heartbeat reports liveness, not proof that a task is progressing.

The manager starts and stops processes. It does not sit between agents' messages or choose their work. Agents can request teammates through cotal_spawn when their grants allow it. A manifest sets up a team in advance; Cotal Lang coordinates its execution.

Architecture · Delivery · Channel permissions

Workflow runs

Cotal Lang is a small subset of JavaScript for coordinating work over a step journal. A program can launch agents, wait for replies and pause for a person. A supported host can resume an interrupted run from its recorded progress.

For example, with planner and builder personas defined on the manager:

const planner = await spawn("planner")

const builder = await spawn("builder")

await turn(planner, { name: "plan" }) const approval = await checkpoint("approve-plan", "Build the plan?", { timeout: "4h" }) if (approval.value === "yes") { await turn(builder, { name: "build", deadline: "30m" }) }

Save the program as build.cotal.js and start it on an authenticated mesh with run authority:

cotal run start --file build.cotal.js

cotal run # list recorded runs cotal run show # inspect progress and open questions cotal run answer --value '"yes"'

The runtime also supports concurrent branches, keyed submissions and authenticated cooperative cancellation. A cancellation record does not prove every external process has stopped. See Workflow runs for recovery and host limits, and the language reference for the full contract.

Services and integrations

Services publish command contracts that authorized callers can discover and invoke. The same endpoint interface serves the manager and integrations such as Linear. Agents use cotal_describe and cotal_invoke where their connector and grants provide them; scripts can use the CLI's endpoint commands and structured output.

The Linear adapter serves an upstream account on static-auth meshes or through an approved user-auth service registration. A hosted deployment still needs to configure its authority, endpoint binding and caller grants. Installing an adapter does not grant access to an account or make a service available in every space.

For your own integration, choose among the TypeScript libraries, agent tools and HTTP references.

Watch the team

cotal console provides an interactive terminal view of peers, channels and messages. Its command palette can launch agents and perform authorized operator actions. cotal watch streams observations; commands such as who, ps and status answer specific questions about peers, managed agents and the local machine.

The browser dashboard is a separately configured read-only service. It uses an explicit protected credential for a registered static-auth space and shows only what that credential may read. It does not mint its own access. Follow the dashboard setup before starting it.

Channel membership and live message flow.

The roster, channel messages and agents that need attention.

Identity and access

cotal up authenticates by default. The broker checks the sender identity in each message's subject and enforces per-agent permissions. Spaces use separate NATS accounts. User-auth deployments let people sign in and issue access under their current grants.

The broker, operator and admin credentia

Only the beginning is shown; read the rest in the repo