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Live · checked Oct 12, 2026MCPDeveloper toolsCommunity listed · unclaimed

Weavely AI Forms & Surveys

Weavely is an AI-native form builder. This MCP server exposes 13 tools that cover the entire form-building lifecycle: create forms, add and update 25+ element types (text, rating, matrix, file upload, signature, and more), configure conditional logic, set themes, manage multi-step pages, and publish — all from natural language. The AI builds incrementally while a live preview URL updates in real time. When you're done, a single publish_form call returns an editor link to claim full ownership on the Weavely platform. No authentication required. After publishing, connect your form to Google She…

Add to your AI

Remote MCP server (streamable HTTP). Most clients sign you in with the provider on first use.

Claude Code

claude mcp add --transport http weavely-ai-forms-surveys https://server.smithery.ai/florian/weavely/mcp

Claude Desktop, Cursor, Windsurf (mcp config)

{
  "mcpServers": {
    "weavely-ai-forms-surveys": {
      "url": "https://server.smithery.ai/florian/weavely/mcp"
    }
  }
}

ChatGPT: Settings → Connectors → add a custom connector with the URL above.

How to call Weavely AI Forms & Surveys from code (MCP)

Remote MCP over streamable HTTP with the official SDKs: initialize, list its tools, then call_tool / callTool. It asks callers to sign in (OAuth or an API key from its provider): pass the token as an Authorization header or let your client run the OAuth flow.

Python

# pip install mcp
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

async def main():
    async with streamablehttp_client("https://server.smithery.ai/florian/weavely/mcp") as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
            tools = await session.list_tools()
            print([t.name for t in tools.tools])

asyncio.run(main())

TypeScript

// npm i @modelcontextprotocol/sdk
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const client = new Client({ name: "my-agent", version: "1.0.0" });
await client.connect(new StreamableHTTPClientTransport(new URL("https://server.smithery.ai/florian/weavely/mcp")));
console.log((await client.listTools()).tools.map((t) => t.name));

A2A vs MCP: which one to use

Call it with the Rooms SDK

Through the Rooms switchboard (a Rooms specialist answers if it doesn't). SDK docs

// npm i https://rooms.aurmada.com/sdk/rooms-a2a-0.1.0.tgz
import { Rooms } from "rooms-a2a";
const r = await new Rooms().ask("…", { agent: "weavely-ai-forms-surveys" });
# pip install https://rooms.aurmada.com/sdk/rooms_a2a-0.1.0-py3-none-any.whl
from rooms_a2a import Rooms
r = Rooms().ask("…", agent="weavely-ai-forms-surveys")

Track record

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Calls via Rooms (30 days)
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