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PopNx MCPMCP servers for people who use AI · explained in plain words

Sapiom MCP

by sapiomversion 0.20.0i★ –iRuns on your computer
Registry nameio.github.sapiom/mcp

Install

Overview

Description from the maker (original English)

Local Sapiom developer MCP for authoring, testing, deploying, and inspecting agents.

PopNx MCP’s three pillars

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

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 on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "sapiom": {
      "command": "npx",
      "args": [
        "-y",
        "@sapiom/mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add sapiom -- npx -y @sapiom/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "sapiom": {
      "command": "npx",
      "args": [
        "-y",
        "@sapiom/mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "sapiom": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@sapiom/mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account sapiom, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32433 servers in this category
  • Published to the registry more recently than 59% of the other 32433 servers in this category
  • Basic checks equal to or better than 100% of the other 32433 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 Sapiom MCP safe?

It passed 1 of 1 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 on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.20.0) reached the registry 28 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

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.

@sapiom/mcp

The local developer MCP server for Sapiom. It runs on your machine over stdio under the server name sapiom-dev. Today it gives a coding agent the tools to scaffold, test, deploy, and inspect Sapiom agents, and to put a web app behind a live sandbox URL or a durable App Link; the namespace leaves room for other developer tooling later.

Not the capability surface. This is _not_ the remote "Sapiom" MCP (the

hosted connector with sapiom_sandbox_*, scrape, search, … capability tools).

sapiom-dev exposes no direct capability tools. Its local check and Local

Run path uses stubbed capabilities without Sapiom capability spend; deploys,

cloud builds, production runs, signals, and schedules operate Sapiom cloud

state and may be metered. See

the two Sapiom MCP servers for which to use when.

Install

No global install — run it on demand with npx:

{

"mcpServers": { "sapiom-dev": { "command": "npx", "args": ["-y", "@sapiom/mcp"], }, }, }

In Claude Code:

claude mcp add sapiom -- npx -y @sapiom/mcp

Configuration

The server targets the production environment by default. Override it with the SAPIOM_ENVIRONMENT environment variable:

{

"mcpServers": { "sapiom-dev": { "command": "npx", "args": ["-y", "@sapiom/mcp"], "env": { "SAPIOM_ENVIRONMENT": "staging" }, }, }, }

  • production (alias prod) → app.sapiom.ai / api.sapiom.ai — the default.
  • staging (alias dev) → app.sapiom.dev / api.sapiom.dev.

Both resolve from built-in presets, so no config file is required. A custom target can be defined in ~/.sapiom/credentials.json (the server prints the expected shape if it encounters an unknown environment name).

The API key only travels over https://, or plain http:// to a loopback host (localhost, *.localhost, 127.0.0.1, [::1]). A custom target on any other http:// host is refused before the request is sent. On a trusted private network, set SAPIOM_ALLOW_INSECURE_HTTP=1 in the server's env.

Authentication

The first networked call (link, deploy, run, inspect, signal) needs a Sapiom API key. Run `sapiom_authenticate` and the server opens a browser login flow, then caches the resulting key per environment in ~/.sapiom/credentials.json. After that, tools work without re-authenticating. sapiom_status reports who you're authenticated as; sapiom_logout clears the cached credentials.

The local authoring tools (scaffold, check, run_local) need no Sapiom authentication. scaffold may query npm for current dependency versions; check imports the definition; and run_local executes the author's ordinary local code. Only ctx.sapiom.* calls are replaced by stubs, so direct network, filesystem, environment, and process effects in author code remain real.

Tools

ToolNetworkWhat it does
sapiom_authenticatebrowserLog in and cache an API key for the current environment
sapiom_status—Report authentication status
sapiom_logout—Clear cached credentials
sapiom_send_feedback✓Relay the user's product feedback to the Sapiom team
sapiom_dev_agents_scaffoldnpm optionalCreate a new agent project; may query npm for current dependency versions
sapiom_dev_agents_checkauthor code onlyTypecheck, import, bundle, and validate the definition and step graph
sapiom_dev_agents_run_localauthor code onlyRun locally with ctx.sapiom.* calls stubbed (no Sapiom capability spend)
sapiom_dev_agents_link✓Resolve/create the hosted orchestration and cache its id
sapiom_dev_agents_clone✓Fork a gallery template (or re-clone a fork) into a local project
sapiom_dev_agents_deploy✓Bundle current local source, build in the cloud, and wait
sapiom_dev_agents_run✓Start a real cloud execution
sapiom_dev_agents_inspect✓Inspect an execution or build (optionally waiting for it)
sapiom_dev_agents_signal✓Resume a paused execution by delivering a signal
sapiom_dev_agents_emit_event✓Emit a custom event; starts a run per active event trigger on that type (0..N)
sapiom_dev_agents_schedule✓Create a trigger: cron, one-off, event (eventType), or webhook (URL + secret)
sapiom_dev_agents_schedule_inspect✓Inspect one trigger (with fire history) or list an agent's triggers
sapiom_dev_agents_schedule_cancel✓Cancel a trigger of any kind (stops all future fires)
sapiom_dev_agents_schedule_secret✓Rotate, complete-rotate, or revoke a webhook trigger's signing secret
sapiom_dev_agents_cron_preview✓Validate a cron expression and preview its next occurrences
sapiom_dev_sandbox_configure—Write a validated type: "sandbox" preview resource into sapiom.json
sapiom_dev_sandbox_check—Validate the project's sandbox resources without deploying
sapiom_dev_sandbox_preview✓Deploy the app to a sandbox for a live URL that expires with its ttl
sapiom_dev_app_publish✓Publish the same app to a durable App Link (apps.sapiom.ai/{org}/{slug})
sapiom_dev_app_list✓List the org's App Links: URL, visibility, webhooks, spend cap, wake state
sapiom_dev_app_settings✓Change a link's webhooksEnabled, visibility, spend cap, wake rate limit
sapiom_dev_app_delete✓Delete a link (URL stops resolving, slug freed); confirm: true required
sapiom_dev_mapoptionalThe agent map: systems, agents, steps and the code-proven edges between them

A typical loop: scaffold → write step code → run_local until green → link → deploy → run → inspect.

For a web app rather than an agent: sandbox_configure → sandbox_preview while iterating (a throwaway URL that dies with the sandbox) → app_publish once the link needs to be permanent or shared. app_publish reads the same sapiom.json sandbox resource, uploads the source as a stored text-only bundle (≤ 10 MiB), and returns a durable https://apps.sapiom.ai/{org}/{slug} URL that wakes the app on demand — republishing the same slug updates it in place. See the sapiom-sandbox-preview skill for the routing rules.

Once a link exists, app_list, app_settings and app_delete manage it without leaving the terminal. Webhooks are off by default: app_settings { slug, webhooksEnabled: true } turns them on, after which third parties POST to https://apps.sapiom.ai/{org}/{slug}/hook/ (the /hook prefix is stripped and the body forwarded byte-exact, so Slack/Stripe/GitHub signature checks run inside the app). These settings need the org.write permission — publish authority alone is not enough — and a refusal comes back as a message naming the permission and the fields, for the agent to relay rather than retry.

The agent map

sapiom_dev_map returns the map Agent Studio draws, computed from code on every call; nothing about agents or edges is stored. Pass a project folder (root, default the working directory) and optionally a git ref (HEAD, a branch, a commit) to draw that version:

{ "root": "~/agents/support-desk", "ref": "HEAD" }

The scan finds every folder with a sapiom.json or a defineAgent and reads:

  • Edges, agent to agent, each with the file and line that proves it: agents.run / agents.launch (launch), schedules.create on another agent (timer), and events.emit matched to the agents an event type triggers (event). A target counts when the code makes it knowable: a literal, a const (local or imported), every value of a const map indexed at run time, a zod .default() on the input field the call reads, or a process.env key set in sapiom.json. Anything else is listed under unresolved.
  • Systems: connected components over those edges. Agents that only share a vault key, database or connector are not joined; the shared resource shows in each agent's shared list. Name a system in a committed .sapiom/map.json: { "systems": [{ "agent": "intake", "name": "Support desk" }] }.
  • Steps from agents check (needs the agent's dependencies installed).
  • Triggers and deploy state from the signed-in account, plus a fleet.json's declared triggers. Signed out, platform says so and the map still draws.
  • `changedSinceRef`: the agent's folder differs from ref (from HEAD when drawing the working copy).

To map agents you describe yourself, without scanning, pass agents:

{

"agents": [ { "slug": "intake", "emits": [{ "eventType": "ticket.opened" }] }, { "slug": "triage", "triggers": [{ "kind": "event", "eventType": "ticket.opened" }], "calls": [{ "to": "notify", "kind": "launch" }] }, { "slug": "notify", "resources": ["connector:slack"] } ] }

Each agent takes slug and optionally path, description, deployed, steps ({ entry, steps: [{ id }], transitions: [{ from, to, kind }] }), calls ({ to, kind: "launch" | "signal" | "timer", evidence? }), emits, triggers and resources. The same systems rule applies.

Labels. Signed in, the tool asks Jev (jev-1.13.0, one batched decisions.evaluate call) for each described agent's role (intake, worker, orchestrator, reporter, monitor or utility) and for the label of each launch or event edge (hands work to, feeds data to or monitors). A label appears only when its probability p is at least 0.8. Answers are cached in /.sapiom/cache/map-labels.json (ignored by git from inside the folder; in memory for a described map), keyed by a hash of the question's facts, so an unchanged agent is never re-asked and its label never flips. In a scanned project, when an agent changes, the label it showed stays unless the new answer differs and clears 0.8. Signed out, with platform: false, or when Jev fails or takes over 5 s, the map comes back with labels: "unavailable" and is otherwise the same.

How capabilities fit in

Agents authored here call Sapiom capabilities — sandboxes, repositories, coding agents, search, storage, content generation — through @sapiom/tools (ctx.sapiom.*). run_local resolves those calls from stubs; deploy and production run cross into authenticated cloud operations and can be metered. This MCP never grows a per-capability tool of its own — capabilities live in @sapiom/tools and the remote sapiom MCP. See the positioning doc for the full policy.

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