Markaestro vs SocialGPT
A side-by-side look at the Markaestro and SocialGPT MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Markaestro for social media work as a local process; choose SocialGPT for social media over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Markaestro when
- You need dedicated capabilities in the Social Media domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
MARKAESTRO_API_KEY.
Choose SocialGPT when
- You need dedicated capabilities in the Social Media domain.
- You prefer a remote HTTP/SSE transport.
- You want tools like
list_videos, search_videos, get_video.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Social Media | Social Media |
| Quality signal | 43/100 · Fair | 55/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | MARKAESTRO_API_KEY | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 10 |
| Directory activity | 1 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | Not listed | 26 |
| Full listing | View Markaestro | View SocialGPT |
Tools & capabilities
Markaestro tools
No tool names declared yet. Check the project README from the listing page.
SocialGPT tools 26
list_videosList your videos — filter by platform/query, scope to one connected account, sort by recent or top performers.search_videosSearch your analyzed videos by query.get_videoGet one video by platform + post id — owned or public/analyzed.get_video_analysisFull analysis (incl. scene breakdown) for a video — owned or competitor.searchSearch your content (connector-convention entrypoint).fetchFetch a single resource by id (connector-convention entrypoint).get_content_profileYour content DNA — topics, pillars, and voice synthesized from your content.list_accountsList your connected social accounts.get_accountGet one connected account by id.get_account_metricsViews / engagement as a time series over a trailing window (up to 365 days), per account or aggregated.get_follower_historyAudience growth over time — follower / following / media counts as a true time series (up to 365 days).get_growth_summaryComputed growth deltas and momentum over a window — the "am I growing?" answer in one call.- +14 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Markaestro
{
"mcpServers": {
"markaestro": {
"command": "npx",
"args": [
"-y",
"@markaestro/mcp"
],
"env": {
"MARKAESTRO_API_KEY": "YOUR_MARKAESTRO_API_KEY_HERE"
}
}
}
}
SocialGPT
{
"mcpServers": {
"socialgpt": {
"url": "https://mcp.gpt.social/mcp"
}
}
}
Frequently asked questions
Markaestro is categorized under Social Media and uses a local stdio subprocess. SocialGPT belongs to Social Media and uses a remote HTTP/SSE transport. Pick Markaestro for social media work and SocialGPT for social media.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Markaestro has no declared pricing — check the project's own site. SocialGPT has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add markaestro and socialgpt as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Markaestro has a quality signal of 43/100 (Fair) with 1 views, 0 installs and 0 GitHub stars. SocialGPT has 55/100 (Good) with 0 views, 0 installs and 10 GitHub stars.