Ashlr Stack

Name: Ashlr Stack
Author: ashlrai

by ashlraiversion 0.3.1i★ –iRuns on your computer

Registry nameio.github.ashlrai/ashlr-stack

Install

Overview

Description from the maker (original English)

Provision and connect third-party dev services (Supabase, Vercel, and more) from your coding agent.

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 checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Databases & datasets

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?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "ashlr-stack": {
      "command": "npx",
      "args": [
        "-y",
        "ashlr-stack-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add ashlr-stack -- npx -y ashlr-stack-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "ashlr-stack": {
      "command": "npx",
      "args": [
        "-y",
        "ashlr-stack-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": {
    "ashlr-stack": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ashlr-stack-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 ashlrai, 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 Databases & datasetsi

More stars than 0% of the other 953 servers in this category
Published to the registry more recently than 87% of the other 953 servers in this category
Basic checks equal to or better than 100% of the other 953 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 Ashlr Stack 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 (0.3.1) reached the registry 5 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: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

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

Supabase

by supabase

Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.

Computer or cloud★ 2,993Apache-2.0Updated yesterday

Install

MongoDB MCP Server

by mongodb-js

MongoDB Model Context Protocol Server

Runs on your computer★ 1,157Apache-2.0Updated 2 days ago

Install

Elasticsearch MCP Server

by cr7258

MCP server for interacting with Elasticsearch

Runs on your computer★ 315Apache-2.0Updated 14 months ago

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.

ashlr-stack-mcp

MCP server for Ashlr Stack. Exposes 19 tools and up to 3 resources for inspecting and configuring supported services from MCP clients.

What it does

stack is a CLI. ashlr-stack-mcp is the same capabilities as MCP tools so your coding agent can drive Stack directly. An agent can request stack_add for a supported provider; authentication, resource setup and configuration changes depend on the adapter and authorization. Inspect the result and any changes.

Install

One-liner. It installs stack, plus ashlr-stack-mcp when it installs from npm or from source; when it installs the prebuilt stack binary from GitHub Releases, it prints how to add the MCP server (npm i -g ashlr-stack-mcp, or npx -y ashlr-stack-mcp):

# macOS / Linux

curl -fsSL stack.ashlr.ai/install.sh | bash

Windows (PowerShell)

irm https://stack.ashlr.ai/install.ps1 | iex

Or manually from the registry:

bun add -g ashlr-stack-mcp @ashlr/stack

or

npm i -g ashlr-stack-mcp @ashlr/stack

Every tool runs the stack CLI. The server resolves it in this order: the executable specified by STACK_BIN, the installed @ashlr/stack dependency's bin, then stack on PATH. If none is available, the server can still start and list tools, but calls fail with a CLI error. The npm CLI and MCP packages in this release declare Node.js >= 20 and use Node entrypoints. Check your installed package manifests; source development uses Bun.

Run from a local clone

Install Bun and Node.js 20 or later, then install the workspace dependencies and build the CLI from the repository root:

bun install --frozen-lockfile

(cd packages/cli && bun run build)

The source server runs with Bun; the CLI build provides the workspace dependency's dist/index.js. Start the server from the project you want it to inspect, replacing the paths with absolute paths on your machine:

cd /absolute/path/to/my-project

bun run /absolute/path/to/ashlr-stack/packages/mcp/src/server.ts

The server speaks MCP over stdin and stdout, so connect it to an MCP client rather than expecting an interactive prompt. Keep stdout reserved for the protocol. Provider operations may need Phantom and provider credentials configured separately.

Wire it into your agent

Drop this into your project's .mcp.json (Claude Code, Cursor and Windsurf read this shape; Codex uses codex mcp add ashlr-stack -- ashlr-stack-mcp, which writes ~/.codex/config.toml):

"mcpServers": { "ashlr-stack": { "command": "ashlr-stack-mcp" } } }

For a local clone, after the installation and CLI build above, point the client at the source entry directly (with bun available on its PATH):

"mcpServers": { "ashlr-stack": { "command": "bun", "args": ["run", "/absolute/path/to/ashlr-stack/packages/mcp/src/server.ts"] } } }

The client chooses the server's working directory; the absolute entry path does not set it. Configure the client to start the server in your project if supported, or pass cwd to project-scoped tool calls as described below.

Targeting a project (`cwd`)

Every tool runs stack in the server's working directory by default. When your client starts the server outside the project (Claude Desktop, a global Cursor or Windsurf config), pass the project's absolute path to a project-scoped tool:

{ "name": "stack_list", "arguments": { "json": true, "cwd": "/home/me/code/my-app" } }

cwd is accepted by the project-scoped tools, the ones that read or write .stack.toml or other project files: stack_init, stack_import, stack_scan, stack_add, stack_remove, stack_list, stack_info, stack_status, stack_env_show, stack_env_diff, stack_doctor, stack_sync, stack_deps, stack_recommend and stack_apply. It must be an absolute path to an existing directory; it is resolved with realpath, and a relative path, a missing path or a file returns an isError result without running anything. It grants nothing beyond what the server's own working directory already does. The global tools (stack_providers, stack_projects_list, stack_templates_list, stack_upgrade) refuse cwd instead of ignoring it. There is no environment-variable default; start the server in the project or pass cwd.

Tools (19)

Provisioning: stack_init, stack_add, stack_remove, stack_import, stack_scan.

Inspection: stack_list, stack_info, stack_status, stack_providers, stack_templates_list, stack_deps, stack_doctor. stack_list, stack_providers, stack_deps, stack_templates_list and stack_projects_list take json: true to return the CLI's --json object instead of human text.

Env: stack_env_show, stack_env_diff, stack_sync.

stack_info and stack_env_show take json: true to return stack info --json (ashlr.stack.info/v1) and stack env show --json (ashlr.stack.env/v1) instead of human text.

Planning: stack_recommend, stack_apply.

Project registry: stack_projects_list (json: true returns stack projects list --json), stack_upgrade.

Every tool rejects an argument name its input schema does not declare, and lists the accepted ones, rather than running without it. A blank string (" ") counts as missing for a required argument and is rejected for an optional one.

Resources (up to 3)

Each is listed only when the file exists in the server's working directory (resources do not take cwd).

stack://current/.stack.toml
stack://current/.stack.local.toml
stack://current/.mcp.json

The agent can read these directly — no tool call needed — so it always knows the project state before acting.

Full tool + resource reference: [stack.ashlr.ai/docs/mcp](https://stack.ashlr.ai/docs/mcp).

How secrets are handled

Stack never stores secret values. Every tool call routes through Phantom Secrets on your machine. The agent only sees slot *names* (like SUPABASE_URL, SUPABASE_ANON_KEY) — never the values.

License

MIT. See LICENSE.

Ashlr Stack

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Databases & datasetsi

Common questions

Alternatives

Supabase

MongoDB MCP Server

Elasticsearch MCP Server

README from the maker

ashlr-stack-mcp

What it does

Install

Windows (PowerShell)

or

Run from a local clone

Wire it into your agent

Targeting a project (cwd)

Tools (19)

Resources (up to 3)

How secrets are handled

Links

License

Targeting a project (`cwd`)