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COTAL actions (cotal.ai) MCP server

online · 100% uptime
by cotal.ai·ai.cotal/cotal·v1.1.0·328 stars
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cotal.ai actions: product overview, site search, build log, feedback, Cloud waitlist, updates, calls

B81/100grade B
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Safety scan
B81/100

full report

Adoption
Established

328 stars

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COTAL actions (cotal.ai) tools (12, 6 write)

write = sends, deletes, buys or posts
  • cotal_draft_postwrite actionFree

    Stages a new article for the COTAL build log (cotal.ai/blog). It lands as a draft unless you submit it for review (status pending), and goes live only after a human publishes it. Returns the slug and a preview URL. Requires a team key on the connection.

  • cotal_get_my_postwrite actionFree

    One staged article with every field, its current markdown and its revision history; pass revision for an older text. Requires a team key.

  • cotal_get_postwrite actionFree

    Returns one build-log post as markdown (title, summary, date, author, full body) by its slug. Get slugs from cotal_list_posts or cotal_search.

  • cotal_join_waitlistFree

    Reserves a seat on the waitlist for Cotal Cloud, the hosted Cotal mesh (closed alpha), for the user's email. Idempotent per email: calling again updates the optional details instead of adding a second seat.

  • cotal_list_my_postsFree

    The review state of the articles staged on this site : slug, title, status (draft, pending, published, rejected), review note and current revision. Requires a team key.

  • cotal_list_postsFree

    Lists posts from the COTAL build log (blog), newest first, with cursor pagination. Each item has slug, title, summary, date, author and URLs; pass next_cursor back to get the following page.

  • cotal_overviewFree

    Returns a structured overview of COTAL: what it is, who it is for, when to use it, how to install it, the site's API and MCP surface, pricing, and canonical links. Call this first when a user asks what cotal.ai does. Pass `section` to get one part only.

  • cotal_request_callwrite actionFree

    Sends a discovery-call request to the COTAL founders for a company evaluating agent coordination. The team replies by email. Requires the user's work email and company.

  • cotal_searchFree

    Keyword search over the COTAL build log (blog posts) and the key documentation and site pages. Returns ranked results with canonical and markdown URLs. Use it to find the page that answers a question before reading it.

  • cotal_submit_feedbackwrite actionFree

    Files feedback (bug, idea, friction, praise, other) with the COTAL team on behalf of the user. The same log the site's feedback widget writes to. Requires the user's email so the team can follow up.

  • cotal_subscribe_newsletterFree

    Subscribes the user's email to release updates from the COTAL team. Idempotent: an already-subscribed email is a no-op.

  • cotal_update_postwrite actionFree

    Improves an article staged with cotal_draft_post. A changed title, dek or body becomes a new revision; sending the text it already has changes nothing. Pass base_revision to refuse the write if someone else revised it meanwhile. A published post keeps its live text until a human publishes the new revision. Requires a team key.

Public scan report

scanner v0.1.10 · 2026-10-15 · same rubric, same numbers if you re-run it

1 high
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 97ms20/20
  • Tool poisoning12 tool descriptions checked15/15
  • Auth qualityopen endpoint exposes 6 write-action tools with no auth3/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityendpoint served from the registry-verified namespace domain8/10

Findings (1)

  • highWrite-action tools reachable without authenticationauth.open-write
Overall 81/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How COTAL actions (cotal.ai) compares

Against every graded E-commerce MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
81/100
higher than 73% of 2,174 E-commerce servers
Tools
12
the typical E-commerce server has 6
Tools that change things
50%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote E-commerce server answers 100%
Response time
1,306 ms
faster than 6% of 1,527 E-commerce servers
GitHub stars
328
more than 95% of 1,047 E-commerce servers

What its tools let an agent do: 6 read · 6 change

Install COTAL actions (cotal.ai) in Claude Code, Cursor or VS Code

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

What the publisher says

From the COTAL actions (cotal.ai) repository's README, as published. We do not edit it. Read it on GitHub

The open pub/sub standard for AI agents.

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

 

Examples · Supported agents · 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 picks your default, and every command takes --space , 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

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 .

Setup gets your machine ready and starts nothing. Then:

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.

Shortened. The full README is on GitHub.

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

COTAL actions (cotal.ai): common questions

Is COTAL actions (cotal.ai) MCP server safe?
Mostly: it is graded B (81/100). Read the COTAL actions (cotal.ai) safety report
How do I install COTAL actions (cotal.ai)?
It runs remotely at cotal.ai. 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 COTAL actions (cotal.ai) need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is COTAL actions (cotal.ai) maintained?
The last commit was 19 days ago (2026-10-15). The latest release is v1.1.0.
Is COTAL actions (cotal.ai) 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 COTAL actions (cotal.ai)?
Servers from other publishers that do the same job: JANCTION Render MCP server, PostHog MCP Server and Loki Mode MCP server.
How does COTAL actions (cotal.ai) compare with other E-commerce MCP servers?
safety score 81/100 (higher than 73% of 2,174 E-commerce servers); tools 12 (the typical E-commerce server has 6); tools that change things 50% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to COTAL actions (cotal.ai)

Same job from other publishers: the closest match first, then the best rated.

  • JANCTION Render
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    A
  • PostHog MCP Server
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  • Loki Mode
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  • New-Term Radar
    New AI model, product and repo names as they surface, and the search terms behind them, sized.
    B
  • Idea Reality
    Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt — returns 0-100 signal.
    B