mcpField
W
Webflow

Webflow

Remote
pipeworx.ioDeveloper Tools0Updated 5w ago

About Webflow

Webflow is an MCP server for reading site and CMS data from a connected Webflow account. It is suited to agents and clients that need to inspect sites, collections, and content records.

Key features

  1. 01List accessible sites
  2. 02Get site metadata
  3. 03List CMS collections
  4. 04Browse paginated collection items
  5. 05Read an individual collection item

Use cases

  1. 01Discover sites available to an account
  2. 02Inspect a site's CMS structure
  3. 03Read blog posts, products, or team records

MCP support

Exposes Webflow site and CMS inspection tools to MCP clients through Pipeworx or as a local stdio server.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://gateway.pipeworx.io/webflow/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

mcp-webflow

Webflow MCP Pack

Part of Pipeworx — an MCP gateway connecting AI agents to 1684+ live data sources.

Tools

ToolDescription
list_sitesList all Webflow sites accessible to the connected account. Returns each site's id, display name, short name, preview URL, last published time, and custom domains. Use to discover which Webflow sites are available before reading their CMS collections or site content.
get_siteGet metadata for a single Webflow site by its id, including display name, short name, preview URL, time zone, last published time, and custom domains. Use after list_sites to inspect a specific site before browsing its CMS collections and content.
list_collectionsList the CMS collections defined on a Webflow site. Returns each collection's id, display name, slug, singular name, created time, and last updated time. Use to discover the CMS structure of a site before listing or reading collection items (the actual site content).
list_collection_itemsList the items (records) in a Webflow CMS collection — the live site content such as blog posts, products, or team members. Returns paginated items with their id, draft/archived status, last published time, and fieldData (the CMS field values). Use to read the actual content stored in a Webflow collection.
get_collection_itemGet a single item (record) from a Webflow CMS collection by its id. Returns the item's id, draft/archived status, last published time, and fieldData (the full CMS field values). Use after list_collection_items to read one piece of Webflow site content in detail.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "webflow": {
      "url": "https://gateway.pipeworx.io/webflow/mcp"
    }
  }
}
What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/webflow/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1684+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

This pack runs against a connected webflow account, so it needs a Pipeworx key: sign in at https://pipeworx.io/account, connect webflow, then call POST https://gateway.pipeworx.io/v1/tools/list_sites with Authorization: Bearer <your Pipeworx key>. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/list_sites. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "webflow": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-webflow"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-webflow

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Webflow data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.