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by webflow · MCP Server · ★ 135
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Webflow's MCP server A Node.js server implementing Model Context Protocol (MCP) for Webflow using the Webflow JavaScript SDK. Enable AI agents to interact with Webflow APIs. Learn more about Webflow's Data API in the developer documentation. Prerequisites Node.js NPM A Webflow Account 🚀 Remote installation Get started by installing Webflow's remote MCP server. The remote server uses OAuth to authenticate with your Webflow sites, and a companion app that syncs your live canvas with your AI agent. Requirements Node.js 22.3.0 or higher Note: The MCP server currently supports Node.js 22.3.0 or higher. If you run into version issues, see the Node.js compatibility guidance. Cursor Add MCP server to Cursor Go to . Under MCP Tools, click . Paste the following configuration into (or add th
| Stars | 135 |
| Forks | 35 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.8269117931873/100 |
| Open Issues | 19 |
| Last Updated | 2026-06-09 |
| Created | 2025-03-17 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~40k |
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mcp-server is Model Context Protocol (MCP) server for the Webflow Data API.. It is categorized as a MCP Server with 135 GitHub stars.
mcp-server is primarily written in TypeScript. It covers topics such as built-with-fern, business-critical-yes, generated-from-openapi.
You can find installation instructions and usage details in the mcp-server GitHub repository at github.com/webflow/mcp-server. The project has 135 stars and 35 forks, indicating an active community.
mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-server on Agent Skills Hub include maverick-mcp, biomcp, vestige. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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