Free, agent-first social-post metrics β a post URL in, views/likes/comments out.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Pulse MCP.
metrics{ platform, views, likes, comments, shares, quotes, bookmarks, publishedAt, title, author, thumbnail }
metrics_batchthe same, one per URL (partial failures don't fail the batch)
historythe recorded growth curve β `{ count, points }` (posts: `{ t, views, likes, comments }`, profiles: `{ t, followers, posts }`), a snapshot per fresh fetch
profileaccount-level metrics β `{ handle, name, followers, following, posts, verified, avatar }` (YouTube, TikTok, Instagram, X, Bluesky, Mastodon)
profile_batchsame as `profile`, one per URL β order preserved; partial failures don't fail the batch. Compare follower counts across a list of creators.
MCP server for Pulse β a free, agent-first social-post metrics API. Give any MCP client (Claude Desktop, Cursor, β¦) the numbers behind any public post: hand it a URL, get back views, likes, comments, and the publish date as clean JSON. No signup, no API key.
That's it β drop it in your MCP config and your agent has five new tools.
| Tool | Input | Output |
|---|---|---|
metrics | one post URL (short links like vm.tiktok.com/t.co OK) | { platform, views, likes, comments, shares, quotes, bookmarks, publishedAt, title, author, thumbnail } |
metrics_batch | many URLs (mixed post + profile URLs welcome) | the same, one per URL (partial failures don't fail the batch) |
history | one post or profile URL (+ optional since for the delta) | the recorded growth curve β { count, points } (posts: { t, views, likes, comments }, profiles: { t, followers, posts }), a snapshot per fresh fetch |
profile | one profile URL | account-level metrics β { handle, name, followers, following, posts, verified, avatar } (YouTube, TikTok, Instagram, X, Bluesky, Mastodon) |
profile_batch | many profile URLs (max 50) | same as profile, one per URL β order preserved; partial failures don't fail the batch. Compare follower counts across a list of creators. |
Example β ask your agent "how did this video do?" with a link, and it gets:
| Platform | Returns | Notes |
|---|---|---|
| YouTube | views, likes | |
| X / Twitter | views, likes, comments, shares (retweets), quotes, bookmarks | views via X's own guest API (tweets since ~Dec 2022) |
| TikTok | views, likes, comments, shares | |
| Bluesky | likes, comments, shares (reposts), quotes | public AppView API; Bluesky has no view counts |
| Mastodon | likes, boosts, replies | per-instance public REST API (major instances) |
| views, likes, comments | public posts via the guest API | |
| Threads | post metrics need a login | post metrics β login_required; profile metrics (followers/verified) work via /profile |
| β (posts need login) | post metrics β login_required; profiles also login-walled |
It reads each platform's own public pages from a residential IP, so it sees what a browser
sees β and it's honest about the edges: a deleted/private post comes back content_unavailable,
a login-walled one login_required, never a silent row of zeros.
PULSE_API_URL β override the backend (defaults to https://pulse.walls.sh).Built in public as Wall #002 of walls.sh. Docs: https://pulse.walls.sh/docs Β·
machine-readable: /llms.txt Β· OpenAPI.
MIT.
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