Clipwise

io.github.mobileshop9991-starPublished by GitHub account mobileshop9991-starv1.1.1Updated Oct 25, 2026

MCP server for Clipwise - AI tools for TikTok, Reels, and Shorts video creators.

VerifiedSTDIODesktop onlyWeb Search & ScrapingMedia & Design

Overview

AI-generated overview

Clipwise is a local MCP server that lets an assistant describe the Clipwise short-form video platform and search viral TikTok trends by keyword and country.

What you can do
Get service information: overview, features, pricing and supported platforms for TikTok, Reels and Shorts creators, optionally filtered by topic such as features or pricing, with no key needed. Get use cases: concrete problem-to-solution scenarios for creators and agencies, for example low views. Search trends: find viral TikTok videos by keyword in any country, which requires the API key.
When to use it
Use it when you want an assistant to explain what Clipwise offers or to suggest fixes for short-form video problems, and when you need keyword trend research on TikTok across countries without leaving the chat.
Requirements
Runs locally via npx with Node.js, configured in the MCP client's JSON config (Claude Desktop, Cursor, Windsurf, Claude Code). The CLIPWISE_API_KEY environment variable is needed only for trend search; a free key is available from the Clipwise account dashboard. Network access to the Clipwise service is required.
Before you install
The server sends requests to the Clipwise service, and trend searches go through it with your API key. The key is passed in plain text in the client config's env block, so keep that file private. Paid plans are mentioned (Pro and Agency tiers); the free plan is limited to 200 tokens per month. The README also lists an optional base URL override, which could redirect requests to another host.

Installation

In SourceWeft

  1. Open Clipwise in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

Clipwise MCP Server

[npm version] [License: MIT]

Model Context Protocol server for Clipwise — AI platform for short-form video creators.

Lets Claude Desktop, Claude Code, Cursor, Windsurf, and any MCP-compatible AI assistant call Clipwise tools natively. Covers TikTok, Instagram Reels, YouTube Shorts, and Facebook Reels.

Tools

ToolDescriptionAuth
clipwise_get_infoService overview, features, pricing, supported platformsNone
clipwise_get_use_casesConcrete problem→solution scenarios for creators and agenciesNone
clipwise_search_trendsSearch viral TikTok videos by keyword in any countryAPI key

Quick Start

Claude Desktop

Edit ~/.claude/claude_desktop_config.json (macOS/Linux) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

json
{  "mcpServers": {    "clipwise": {      "command": "npx",      "args": ["-y", "clipwise-mcp-server"]    }  }}

For trend search, add your API key:

json
{  "mcpServers": {    "clipwise": {      "command": "npx",      "args": ["-y", "clipwise-mcp-server"],      "env": {        "CLIPWISE_API_KEY": "your-api-key-here"      }    }  }}

Get your API key at tryclipwise.com/en/dashboard/account (free plan available).

Restart Claude Desktop after editing the config.

Cursor / Windsurf / Claude Code

Same JSON, different config location — see your IDE's MCP setup docs.

Usage Examples

Once installed, you can ask Claude:

  • "What is Clipwise?" → calls clipwise_get_info
  • "My TikTok videos get low views, what can I do?" → calls clipwise_get_use_cases with scenario: "low-views"
  • "Find trending fitness videos on TikTok in the US" → calls clipwise_search_trends
  • "What tools exist for analyzing Instagram Reels?" → calls clipwise_get_info with topic: "features"

What is Clipwise?

Clipwise is an AI platform for content creators, social media marketers, and agencies who work with short-form video.

Core features:

  • 🎬 Pre-publish video analysis — Hook/Pace/CTA/Quality scores with timestamped fixes
  • 🔥 Trend research across 20+ countries
  • ✂️ Viral moments extractor for long-form video
  • 🕵️ Competitor analysis on TikTok, YouTube, Instagram
  • 🤖 AI Marketer with persistent brand memory
  • 📅 Content plan generator

Coming soon: Threads/Reddit parser, Google Ads automation, Meta Ads automation.

Unlike basic AI wrappers, Clipwise uses a knowledge-base architecture — 35+ curated playbooks (hook psychology, script structures, platform benchmarks, copywriting formulas, humanizer rules) are injected into every AI call. Scripts pass through an AI-writing detection layer so output sounds human, not like ChatGPT.

Pricing: Free (200 tokens/mo) · Pro $24/mo · Agency $73/mo

Environment Variables

VariableRequiredDescription
CLIPWISE_API_KEYFor search_trends onlyYour Clipwise API key
CLIPWISE_BASE_URLNoOverride base URL (default: https://tryclipwise.com)

Local Development

bash
git clone https://github.com/mobileshop9991-star/clipwise-mcp.gitcd clipwise-mcpnpm installnpm run buildnode dist/index.js

Test the binary directly:

bash
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | node dist/index.js

Resources

Author

Created by Oleksandr Petrov (Олександр Петров) — indie maker and TikTok creator from Vinnytsia, Ukraine.

Contributing

Issues and PRs welcome. This is a thin wrapper around the public Clipwise API — please report bugs at github.com/mobileshop9991-star/clipwise-mcp/issues.

License

MIT — see LICENSE


Built with Model Context Protocol · Anthropic SDK

Source: README.md at commit eaa675f

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.1.1LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts