Markaestro
Overview
Description from the maker (original English)
Schedule, publish, and review social posts and analytics for a Markaestro brand.
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 checksi3 of 3 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 307/wk · ★ –
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: Computer or cloud
- Transport: stdio, Streamable HTTP
- Category: Marketing & social media
- You need to fill in: MARKAESTRO_API_KEY
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 3 of 3 passed
- Runs on the maker’s server: what you ask it goes through their server.
- You fill in yourself:
MARKAESTRO_API_KEY,MARKAESTRO_READ_ONLY
Values marked secret are keys to your account. Never share them or paste them into a chat.
You need
- Runs in the cloudNothing to install; it connects over the internet
- 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 …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://markaestro.com/api/public/v1/mcpOr run it on your computer
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"markaestro": {
"command": "npx",
"args": [
"-y",
"@markaestro/mcp"
],
"env": {
"MARKAESTRO_API_KEY": "your-value",
"MARKAESTRO_READ_ONLY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add --transport http markaestro https://markaestro.com/api/public/v1/mcpOr run it on your computer
claude mcp add markaestro --env MARKAESTRO_API_KEY=your-value --env MARKAESTRO_READ_ONLY=your-value -- npx -y @markaestro/mcpFill in the empty values before running it.
Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"markaestro": {
"url": "https://markaestro.com/api/public/v1/mcp"
}
}
}Or run it on your computer
Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"markaestro": {
"command": "npx",
"args": [
"-y",
"@markaestro/mcp"
],
"env": {
"MARKAESTRO_API_KEY": "your-value",
"MARKAESTRO_READ_ONLY": "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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"markaestro": {
"type": "http",
"url": "https://markaestro.com/api/public/v1/mcp"
}
}
}Or run it on your computer
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"markaestro": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@markaestro/mcp"
],
"env": {
"MARKAESTRO_API_KEY": "your-value",
"MARKAESTRO_READ_ONLY": "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.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://markaestro.com/api/public/v1/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
Values you fill in
- Workspace API key (mk_live_ or mk_test_) from Settings, API Access. Covers one brand or all brands in the workspace.
MARKAESTRO_READ_ONLYenvSet to 1 to register only the reading tools.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
The server asks you to sign in before it lists its tools.
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 9, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain markaestro.com (the registry checks domain ownership)
- … 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
- ✓ Pass
Endpoint responds
Responded in 321 ms (HTTP 401)
- ✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Marketing & social mediai
- More stars than 0% of the other 3620 servers in this category
- Published to the registry more recently than 85% of the other 3620 servers in this category
- Basic checks equal to or better than 100% of the other 3620 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 Markaestro safe?
It passed 3 of 3 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: MARKAESTRO_API_KEY
Does it run on my computer or in the cloud?
Either way works: install it on your computer or connect to the cloud version.
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.4.0) 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. 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: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
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.
@markaestro/mcp
A Model Context Protocol server that lets AI agents (Claude Code, Claude, Cursor, ChatGPT, Grok, Grok Bot, OpenClaw, Hermes, and any other MCP client) schedule, publish, and review Markaestro posts through the public API. Exact connection steps per client are on https://markaestro.com/developers/agents (?client=cursor, chatgpt, grok, grok-bot, openclaw, hermes, or headless opens that tab).
Every key covers either one brand or every brand in its workspace, chosen when the key is created or at the sign-in consent. A single-brand key works on that brand alone. An all-brands key sees every brand: list_products returns them all, and the agent passes productId to create_post, create_posts, list_posts, and create_evergreen_queue, and to the analytics tools to report on one brand instead of the whole workspace.
Tools
| Tool | What it does |
|---|---|
list_products | The brands this key can act on (one, or all in the workspace) and their connected channels |
list_destinations | Publishable destinations of the brand (pages, accounts) with ids |
get_brand_profile | A brand's description, voice, and visual identity (read-only) |
list_posts, get_post | Read posts by status, page through with cursor |
create_post | Save a draft, or schedule when scheduledAt is set |
update_post | Edit a draft or scheduled post: caption, media, one channel's settings, or its time |
publish_post | Queue an immediate publish; returns a job run |
mark_post_posted | Record that a person posted a manual-reminder or TikTok-inbox post |
delete_post | Delete a draft, or cancel a post before it reaches any platform; published posts are refused |
bulk_posts | Reschedule or restatus up to 25 posts |
create_posts | Up to 25 posts in one call, per-item results |
upload_media | Upload from a file path, URL, or data URL; returns the asset id |
list_media, get_media | Uploaded assets, processing state, reference counts |
get_analytics | Brand performance over a window: totals, channels, daily series, top posts, heatmap, insights. Covers posts published through Markaestro and posts published directly on the platform |
list_post_analytics | Every post in the window with its latest metrics and source, sortable by views, reach, engagements, or engagement rate |
get_post_analytics_history | The 1h to 90d metric snapshots of one post, with growth between stages |
refresh_analytics | Pull live metrics from the platforms now (a few calls a minute) |
suggest_post_times | The brand's best posting windows, learned from its own history |
get_job_run, list_job_runs | Follow a publish to succeeded or failed |
get_channel_rules | Per-channel media, caption, and delivery-mode rules |
get_tiktok_posting_options | The TikTok creator's live privacy levels and interaction options, needed for a Direct Post |
The Evergreen tools (preview_, create_, get_, list_, update_, activate_, pause_, and resume_evergreen_queue, list_evergreen_runs, get_evergreen_analytics) manage proven recurring content.
Agents manage social media and nothing else: account settings, billing, team, API keys, webhooks, and channel connections are not exposed, and no tool deletes a published post, takes one down from a platform, or archives an Evergreen queue. Those stay with the user in Markaestro. The same rule holds at the REST layer for a key issued through the agent sign-in: it cannot remove a published post, take one down from a platform, or manage webhooks (FORBIDDEN_AGENT_CONNECTION). A key a person mints in Settings keeps the full REST surface its scopes allow.
Also served: the markaestro://channel-rules resource and a schedule_post prompt that walks an agent through a safe scheduling flow.
Posting is draft-first. create_post without scheduledAt never publishes; publish_post is the only tool that publishes now, and its description tells the agent to confirm with the user first.
Two ways to connect
Hosted (nothing to install, nothing to paste). Markaestro serves the same tools over Streamable HTTP at https://markaestro.com/api/public/v1/mcp. Add it with no credentials and the first tool call opens the browser: sign in, pick the workspace and brand, click Allow. The client receives an API key bound to that brand and refreshes it on its own.
claude mcp add --transport http markaestro https://markaestro.com/api/public/v1/mcp
This is standard OAuth 2.1 (PKCE, dynamic client registration, discovery at /.well-known/oauth-protected-resource and /.well-known/oauth-authorization-server), so claude.ai, Cursor, and other MCP clients connect the same way. Connected agents are listed and revoked in Settings, API.
For headless or CI use, pass a workspace API key as a bearer header instead:
claude mcp add --transport http markaestro https://markaestro.com/api/public/v1/mcp \
--header "Authorization: Bearer mk_live_..."
{
"mcpServers": { "markaestro": { "type": "http", "url": "https://markaestro.com/api/public/v1/mcp", "headers": { "Authorization": "Bearer mk_live_..." } } } }
Send x-markaestro-read-only: 1 as an extra header to get only the reading tools.
Local package. Run the server on your machine over stdio, which also lets upload_media read local files:
Setup
- Create an API key in Markaestro under Settings > API Access. Pick the brand, the scopes the agent needs (
products.read,posts.read,posts.write,media.write, andposts.publishif it may publish), and prefer a test key while you evaluate. - Give the key to the server through
MARKAESTRO_API_KEY.
Claude Code
claude mcp add markaestro -e MARKAESTRO_API_KEY=mk_live_... -- npx -y @markaestro/mcp
Claude Desktop, Cursor, and other JSON configs
{
"mcpServers": { "markaestro": { "command": "npx", "args": ["-y", "@markaestro/mcp"], "env": { "MARKAESTRO_API_KEY": "mk_live_..." } } } }
Environment
| Variable | Required | Default |
|---|---|---|
MARKAESTRO_API_KEY | yes | n/a |
MARKAESTRO_BASE_URL | no | https://markaestro.com |
MARKAESTRO_READ_ONLY | no | unset; 1 registers only reading tools |
What the server does for you
- Sends an
Idempotency-Keyon every mutation, minted once per call, so a retried request replays instead of double-posting. - Retries
429and transient5xxresponses using the server'sRetry-After. - Runs the three-step direct media upload (session,
PUTto storage, finalize) and never sends the API key to the storage URL. - Returns API failures as tool errors with the stable error
code, any per-channelissues, and a hint about what to change.
Claude Code plugin
The skill and the hosted server ship together as a plugin:
claude plugin marketplace add markaestro/markaestro-agents
claude plugin install markaestro@markaestro
Deploying
Maintainers: the full release runbook (every surface, the version files, and the exact commands) is docs/operations/mcp-release.md in the Markaestro app repository. Summary:
| Surface | How it ships |
|---|---|
Hosted MCP (/api/public/v1/mcp) | Part of the Next.js app; deploys on push to main like every route |
@markaestro/mcp on npm | cd mcp && npm version && npm publish (public scoped package; prepublishOnly builds). Bump src/version.ts with it |
| Plugin and skill | Mirrored to the public repo markaestro/markaestro-agents with node scripts/sync-agents-repo.mjs , then pushed there; claude plugin marketplace add markaestro/markaestro-agents reads it. The skill alone can be copied to ~/.claude/skills/markaestro |
MCP Registry (com.markaestro/mcp) | After the npm publish of the same version: mcp-publisher login http --domain markaestro.com --private-key then mcp-publisher publish from mcp/. The public key is served at /.well-known/mcp-registry-auth |
Glama (markaestro/markaestro-agents) | Admin, Dockerfile: build step npm install -g @markaestro/mcp@ , CMD markaestro-mcp; Build, then Create Release |
Development
cd mcp
npm install npm run build MARKAESTRO_API_KEY=mk_test_... MARKAESTRO_BASE_URL=http://localhost:3000 npm run smoke # local stdio MARKAESTRO_API_KEY=mk_test_... MARKAESTRO_BASE_URL=http://localhost:3000 npm run smoke -- --remote # hosted endpoint
Unit tests live in src/__tests__ and run with the repository's npm test. The smoke script starts the built server over stdio, lists tools, reads the brand, creates a draft, reads it back, and deletes it. Nothing is published.