Clipwise MCP

What mobileshop9991-star/clipwise-mcp MCP server does

mobileshop9991-star/clipwise-mcp MCP server connects an MCP-compatible assistant to selected Clipwise capabilities for short-form video work. It is aimed at content creators, social media marketers, and agencies working with TikTok, Instagram Reels, YouTube Shorts, and Facebook Reels.

The server exposes three tools:

• clipwise_get_info returns information about Clipwise, including its features, pricing, supported platforms, and general capabilities.
• clipwise_get_use_cases provides scenarios that connect creator or agency problems with possible Clipwise solutions. Examples include low-performing videos, finding viral trends, extracting clips from long videos, competitor research, and handling multiple social media clients.
• clipwise_search_trends searches TikTok by keyword or hashtag and returns trending videos with metrics such as views, likes, shares, and comments.

The repository describes Clipwise features beyond these MCP tools, including pre-publish video analysis, trend research in more than 20 countries, long-video clip extraction, competitor analysis, an AI marketer, and content-plan generation. Those product features should not be treated as separate MCP tools unless exposed through one of the listed functions.

How it works

The package runs as a local stdio MCP server. An MCP client starts it with npx -y clipwise-mcp-server, after which the assistant can discover and call the available tools. The repository specifically documents configuration examples for Claude Desktop, Cursor, Windsurf, and Claude Code; the same MCP configuration pattern may be used by other compatible clients.

Two tools are available without credentials. Trend searches are different: clipwise_search_trends requires a Clipwise API key. If no key is supplied, the tool returns instructions for signing up rather than performing the search. Results come from the Clipwise service, and the optional CLIPWISE_BASE_URL setting can override the default service URL of https://tryclipwise.com.

Setup and configuration

Install mobileshop9991-star/clipwise-mcp MCP server through the documented package command:

npx -y clipwise-mcp-server

For Claude Desktop, add an MCP server entry to the platform's configuration file. The entry uses npx as the command, -y and clipwise-mcp-server as arguments, and can include CLIPWISE_API_KEY in its environment section for trend searches. The key is available from the Clipwise account dashboard, which the README says has a free plan. Restart Claude Desktop after changing its configuration.

The server also supports CLIPWISE_BASE_URL for changing the API base URL. Local development uses the repository itself: install dependencies with npm, build the project, and start node dist/index.js.

Tools and capabilities

clipwise_get_info is suited to questions about what Clipwise offers, which platforms it covers, its pricing, and its creator-oriented features. clipwise_get_use_cases is suited to requests framed around a concrete content workflow or problem, such as weak post performance or competitor analysis.

clipwise_search_trends supports keyword or hashtag searches on TikTok. Its response includes top trending videos and engagement measurements, making it useful for niche research, identifying current popular content, and informing content strategy. The material describes trend coverage across 20-plus countries, but the exact country-selection interface is not specified in the tool details.

Limitations and notes

mobileshop9991-star/clipwise-mcp MCP server is described as a thin wrapper around the public Clipwise API. Only three MCP tools are documented, so the broader Clipwise feature list does not establish that video analysis, clip extraction, competitor analysis, or content-plan generation can be called directly through MCP.

Trend search depends on a valid CLIPWISE_API_KEY; the informational tools do not. The README lists future product items such as Threads or Reddit parsing and advertising automation, but these are marked as coming soon and are not documented as available server tools. The project is released under the MIT license.