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Fetch public social post metrics like views, likes, and comments instantly.
This MCP tool is described as fetching metrics from public social media URLs, requires no API keys, and has an open-source repository available for review. No clear high-risk red flags are evident from the provided materials, but local execution, outbound network fetching, and limited source maturity warrant a caution rating overall.
The materials explicitly state that no API key or environment variables are required, and no sensitive credentials are requested, so direct credential exposure appears limited; however, it is still prudent to verify that runtime behavior does not implicitly read other host secrets.
The stated function requires fetching metrics from public post URLs on YouTube, Twitter, TikTok, and Instagram, which implies outbound network requests to those platforms or related public pages. The materials do not specify exact endpoints or transmission details, so users should assume submitted URLs and query content may be sent to external services.
The system flags indicate that the tool executes code locally. This is a normal capability for an MCP tool, but with no README available it is unclear whether it invokes additional system commands, browser automation, or scraping components, so it should be run in a constrained environment.
The available materials do not state any need for specific local files, databases, or broad system resources, and no obvious over-privileged access is requested; however, as an executable MCP service it could still access input URLs, runtime logs, or config files, so the exact scope should be verified in source.
A positive factor is that there is a public GitHub repository and the project is marked open source, making code review possible; however, it comes from a third-party registry, has no declared license, shows 0 stars, and has unknown maintenance status, indicating weak maturity and maintenance signals. This warrants caution, but not a high-risk rating on its own.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "pulse-mcp" yet — see the docs or source repo.
Fetch views, likes, and comments for these public post URLs from YouTube, Twitter, TikTok, and Instagram. Put the results into a comparison table, rank them by total engagement, and identify the best-performing platform.
A comparison table of engagement metrics across platforms, plus a conclusion on the top-performing platform.
Analyze this set of public competitor post URLs, extract views, likes, and comments for each one, determine which posts have stronger engagement, and summarize possible reasons.
A metrics summary for each competitor post, an engagement assessment, and brief insight-driven recommendations.
Collect metrics from this batch of public campaign-related post URLs, calculate total views, total likes, and total comments, and write a short summary suitable for a weekly report.
Aggregate campaign metrics and a concise English summary ready for a weekly report.
Manage Facebook Page posts, comments, scheduling, and insights in one workflow.
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Access Instagram analytics, profiles, audience insights, and optional publishing tools.
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Crawl social media content by keyword or ID and export structured data.