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

Zektor

by m-akcanversion 1.7.1i★ –iRuns on your computer
Registry nameio.github.m-akcan/zektor

Install

Overview

Description from the maker (original English)

Managed Postgres and Valkey hosted in Germany. Agents can create a trial database with no signup.

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: Databases & datasets
  • You need to fill in: ZEKTOR_TOKEN

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).
  • You fill in yourself: ZEKTOR_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "zektor": {
      "command": "npx",
      "args": [
        "-y",
        "zektor",
        "mcp"
      ],
      "env": {
        "ZEKTOR_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add zektor --env ZEKTOR_TOKEN=your-value -- npx -y zektor mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "zektor": {
      "command": "npx",
      "args": [
        "-y",
        "zektor",
        "mcp"
      ],
      "env": {
        "ZEKTOR_TOKEN": "your-value"
      }
    }
  }
}

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": {
    "zektor": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "zektor",
        "mcp"
      ],
      "env": {
        "ZEKTOR_TOKEN": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • ZEKTOR_TOKEN secret env
    Access token from Settings → Access tokens. Without one, the server can still create trial databases.

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 m-akcan, 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 67% 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 Zektor 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?

You need to fill in: ZEKTOR_TOKEN

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 (1.7.1) reached the registry 29 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
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MongoDB MCP Server

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MongoDB Model Context Protocol Server

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

zektor

Command-line client for Zektor.io managed databases and caches.

Beta. The CLI and its MCP server are supported and live, but young. Expect

commands to be added and rough edges filed off as we learn how people use them.

Beta is not a warning about stability of what exists: **1.0.0 settles the

command surface.** Flags, output shapes and exit codes will not change without

a major version, so --json is safe to parse in a script, and tokens you

create now keep working.

Install

npm install -g zektor

Or run it without installing:

npx zektor whoami

Requires Node 18 or newer.

Authenticating

Create a token in the dashboard under Settings → Access tokens, then:

zektor login

The token is stored at ~/.config/zektor/config.json with mode 0600. It is verified against the API before being written, so a mistyped token fails here rather than confusingly on your next command.

--token exists for scripts, but prefer the prompt when you are at a keyboard — an argument lands in your shell history.

In CI

Set ZEKTOR_TOKEN and skip login entirely:

ZEKTOR_TOKEN=zk_… zektor whoami

ZEKTOR_TOKEN always beats the config file. zektor whoami reports which of the two supplied the credential, which is usually how you discover a stray environment variable is overriding the account you logged in as.

Commands

CommandWhat it does
zektor tryA Postgres database for the next hour, no account needed (see below)
zektor loginStore a token for this machine
zektor logoutForget the stored token. Does not revoke it — the same token may be in use elsewhere. Revoke in Settings to end its access.
zektor whoamiShow the account, API URL, and where the token came from
zektor listList your instances
zektor show Show one instance
zektor db create / zektor cache createProvision a database or cache
zektor delete Delete an instance. Asks you to type its name; --yes skips that.
zektor connect Open redis-cli against a cache
zektor scale --tier=…Move an instance to another plan
`zektor storage show\resize\autoscale `Postgres storage: see what it costs, grow it, and set automatic growth (see below)
zektor mcpRun as an MCP server, so an editor or agent can drive the API (see below)

Every read command takes --json.

Trying it without an account
psql "$(npx zektor try)"

zektor try prints a connection string on stdout and, on stderr, how long it works and a claim link. The database accepts connections for 60 minutes. Open the claim link within 3 hours, sign up and add a payment method, and the data moves into a database of your own; otherwise it is deleted. Up to 200 MB and 3 connections, no superuser (trusted extensions such as pgcrypto work), and 3 trials per network per day. --json prints all of it as JSON. The same is available without the CLI:

curl -X POST https://api.zektor.io/api/trial
Creating
zektor db create --name=my-db --tier=AKPG-5 --region=nbg1 --engine=postgres@17

--tier, --region and --engine take the names you see in the dashboard and are resolved to ids for you. --tier and --region are required; leave one out or pass a wrong one and the error lists what is valid.

Creating runs in the background. Add --wait to block until the instance is ready; if creating it fails, the command prints why and exits non-zero.

--storage is rejected: storage starts at what the plan includes. Grow it afterwards with zektor storage resize.

Connecting

connect opens redis-cli for a cache. For Postgres it prints the command shape instead — the password is shown once when a role is created or rotated and the server never stores it, so there is no credential for the CLI to fetch. Create or rotate a role in the dashboard first.

Scaling and storage
zektor scale 42 --tier=AKPG-10

zektor storage show 42 zektor storage resize 42 --size=50 zektor storage autoscale 42 --on --limit=100

scale asks you to type the instance name, since it restarts the instance; --yes skips that. A downgrade warns that the smaller plan has less memory than the instance may be using. When the target plan includes less storage than the database is billed for, scale also says what the difference costs, with or without --yes.

scale and storage resize run in the background too, and take --wait: it blocks until the change has finished, and on failure prints the reason and exits non-zero. Without it, a failed scale is easy to miss, since the instance simply stays on its old plan.

Storage is PostgreSQL only — a cache is sized by its plan, so use scale.

  • Included. Every plan includes storage: 5 GB on AKPG-5 to AKPG-40, then 10, 20 and 40 GB on AKPG-80, 160 and 320. A new database starts there.
  • Growing. storage resize grows it any time, up to 1000 GB. It runs online, with no restart, and prints on stderr what the new size costs.
  • Never shrinks. Storage only grows. Neither you, a plan change nor a restore can make it smaller. The only way to pay for less is to pg_dump into a new database and delete the old one.
  • Price. €0.15/GB/month net above what the plan includes, in whole GB, prorated by the hour like plans. You pay for the size, not the usage: deleting rows frees room, not money. storage show prints what is billed now.
  • Payment. Growing above the plan, or turning on automatic growth, needs a payment method or account credit.
  • Automatic growth is opt-in, and needs a maximum above the current size: storage autoscale 42 --on --limit=100. At 80% full it grows to the larger of +5 GB or 70% full, never above the maximum. Each grow is permanent and billed like a manual one, and you're notified each time. After a failed automatic grow it waits a day. A limit can't be cleared once set, since the API reads an omitted value as "leave unchanged"; set a new number, or turn growth off with --off.
  • Plan changes. An upgrade to a plan that includes more raises the size to the plan's, free. A downgrade keeps its storage, and the GB above the smaller plan are billed.
  • Branches. A branch is billed on its plan, plus what it writes itself above its plan's included storage, while it is a branch. Once promoted, it is billed on its full size, which is the source's size when it was branched (or larger, if grown).
  • Legacy databases. Databases created before growable storage can't grow yet. They are moving soon, and are never billed for storage.

Changed in 1.7.0. storage resize now grows storage through /api/instances/{id}/storage/grow and refuses a size that isn't larger than now. storage autoscale still accepts --min and --up-only, and ignores them. The MCP tool resize_storage now requires confirm_name.

MCP server

zektor mcp speaks the Model Context Protocol over stdio, so an editor or agent can list, create and scale instances directly. It uses the token you already logged in with — there is nothing extra to set up.

Add it to your MCP client's config:

{

"mcpServers": { "zektor": { "command": "npx", "args": ["-y", "zektor", "mcp"] } } }

For Claude Code, claude mcp add zektor -- npx -y zektor mcp does the same thing.

Tools
Tool
create_trial_databaseonly when no token is configured: a free database for an hour, with a claim link to give the user
whoami, list_instances, get_instanceread-only
get_actionread-only; how the background work started by create_instance, scale_instance or resize_storage went, by the actionId they return
list_plans, list_regionsread-only; call these before creating rather than guessing a name
get_connectionread-only, returns a live password for caches
get_storageread-only, PostgreSQL; size, usage and what is billed above the plan
create_instancecosts money
scale_instancechanges the bill; scaling down can leave an instance short of memory, and keeps its storage, billing the GB above the smaller plan
resize_storagePostgreSQL; grows storage, which can't be undone; GB above the plan are billed
set_autoscalePostgreSQL; turns automatic growth on or off, up to a limit
delete_instanceoff by default — see below
Guardrails

The CLI's protection against destroying the wrong thing is a prompt: it makes you type the instance name at a terminal. An MCP server has no terminal and its caller is a model, so that guard is translated rather than dropped.

  • `delete_instance` is not registered unless `ZEKTOR_MCP_ALLOW_DESTRUCTIVE=1` is set. By default the tool does not appear in the list at all, so the worst a confused or injected instruction achieves is spending money, not losing data.
  • `scale_instance`, `resize_storage` and `delete_instance` require a `confirm_name` argument that must match the instance's real name. It can only be filled in by having actually looked the instance up, which is the property the typed-name prompt had.
  • Every tool carries the protocol's readOnlyHint / destructiveHint annotations, so a client that asks before running a tool asks about the right ones.

get_connection deserves its own note: for a cache it returns a connection string containing a live password, which means putting that password into the model's context. That is the point of the tool — it is how an agent wires an app up to a new cache — but it is worth knowing before you enable the server somewhere that logs conversations.

Diagnostics

The server writes its API URL, where it found a token, and whether deletion is enabled to stderr at startup; MCP clients collect that as server logs. A server pointed at the wrong API looks exactly like a broken one until you read them.

Output

stdout carries data and nothing else. Progress, warnings and errors go to stderr, so pipes stay clean:

zektor whoami --json | jq -r .email

Failures exit non-zero, so zektor … && next-command stops rather than continuing past an error the shell never saw.

Configuration

VariablePurpose
ZEKTOR_TOKENAccess token. Overrides the config file.
ZEKTOR_API_URLAPI base URL. Defaults to https://api.zektor.io.
XDG_CONFIG_HOMEHonoured when set; config lives under $XDG_CONFIG_HOME/zektor/.
ZEKTOR_MCP_ALLOW_DESTRUCTIVESet to 1 to register delete_instance on the MCP server. Unset, the tool does not exist.

Roadmap

Next, roughly in order of how often they would be reached for:

  • Backups — list, trigger, and restore to a point in time
  • Roles — create and rotate Postgres credentials, which is also what would let connect work for Postgres rather than printing instructions
  • Logs — tail an instance, the one thing people currently open a browser for

Not planned: admin commands. The admin console is deliberately browser-only.

Development

npm install

npm run gen:api # regenerate types/api.d.ts from the API's OpenAPI document npm run build node dist/index.js whoami

Point the whole thing at a local API with ZEKTOR_API_URL=http://localhost:5098, including the MCP server — ZEKTOR_API_URL=http://localhost:5098 node dist/index.js mcp serves your development backend rather than production.

npm run gen:api writes the API's full OpenAPI types to types/, which is gitignored — it describes every endpoint including the admin surface, and nothing imports it. It is a tool for checking the hand-written interfaces in src/api.ts against the real contract, not a build inpu

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

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