Connect any LLM to your Webflow sites via the Model Context Protocol. Manage pages, collections, CMS items, e-commerce products, forms, and users through natural language — enabling AI-driven site management and content workflows.
Use cases
- AI agents that maintain and update Webflow sites automatically based on content changes
- Bulk content updates across multiple Webflow pages using natural language commands
- Automated e-commerce workflows like inventory updates or product publishing
- Content migration pipelines from other CMS platforms to Webflow
- Generating Webflow CMS items from AI-written content
Frequently Asked Questions
- How do I connect Webflow MCP to Claude or Cursor?
- Install the MCP server and add it to your MCP client configuration with your Webflow API token. Once connected, you can use natural language to manage pages, collections, and products.
- Does Webflow MCP support e-commerce features?
- Yes, it supports managing products, variants, inventory, orders, and SKUs through the Webflow API.
- Is the Webflow API token free?
- Webflow API access requires a Site plan or higher. Some features may require specific plan tiers.
- Can I use this with any MCP client?
- Yes, any client that supports the MCP protocol — including Claude Desktop, Cursor, and Windsurf — can connect to this server.
Related
Related
3 Indexed items
Mem0 MCP Server
Mem0 documents a hosted Model Context Protocol server at https://mcp.mem0.ai/mcp that exposes Platform memory tools (`add_memory`, `search_memories`, `get_memories`, `update_memory`, `delete_memory`, `delete_all_memories`, `delete_entities`, `list_entities`, `list_events`, `get_event_status`) to Claude, Claude Code, Codex, Cursor, Windsurf, VS Code, and OpenCode. Setup uses `npx mcp-add` with HTTP transport or manual JSON/TOML client configs; Codex requires `MEM0_API_KEY` as bearer token per docs.mem0.ai/platform/mem0-mcp. The cloud server needs a Mem0 Platform API key from the dashboard and Node.js for the installer—no local vector database required for the hosted path.
Apify MCP Server
Apify documents an official Model Context Protocol server hosted at https://mcp.apify.com that speaks Streamable HTTP in line with the current MCP specification; Apify warns that SSE transport was deprecated for removal April 1, 2026. Hosted clients authenticate through browser OAuth or by supplying Bearer tokens sourced from Console → Settings → Integrations (`APIFY_TOKEN`), can pin tool bundles via URL query (`?tools=actors,docs,apify/rag-web-browser` style examples reproduce Apify wording), optionally append `telemetry-enabled=false`, and benefit from inferred structured-output schemas surfaced for Actor tooling on hosted endpoints unlike the default stdio server. When MCP clients refuse remote transports, docs recommend `npx -y @apify/actors-mcp-server` with `APIFY_TOKEN` for stdio, Node.js ≥18, and adherence to documented per-user throughput (Apify cites up to thirty requests per second across Actor runs plus storage/documentation calls). Specialized payment modes (open x402 on Base plus Skyfire) appear as optional adjunct pages inside the broader integration handbook.
n8n MCP Server Trigger
The MCP Server Trigger is a first-party n8n core node that turns an n8n workflow into a Model Context Protocol server endpoint. Instead of chaining conventional trigger nodes, it connects only to tool nodes so remote MCP clients can list tools and invoke them over long-lived Server-Sent Events or streamable HTTP transports (stdio is explicitly unsupported). Each node exposes separate test and production MCP URLs, optional bearer or header authentication, and documentation explains how to proxy Claude Desktop through `npx mcp-remote` plus queue-mode caveats for multi-replica webhook deployments.