Connect Claude Desktop, Cursor, and other MCP clients to the Formswrite API — convert documents to Google Forms, edit questions, and manage forms
If you already use Formswrite MCP, the formswrite mcp mcp server is the piece that lets your assistant work with it directly. Connect Claude Desktop, Cursor, and other MCP clients to the Formswrite API — convert documents to Google Forms, edit questions, and manage forms from your LLM.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Cursor — The Cursor tool exposed by this serverConfiguration is passed through the environment: FORMSWRITE_API_TOKEN, FORMSWRITE_MCP_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Formswrite MCP's toolset — Cursor — is a fair guide to whether it matches your workflow. It is maintained by formswrite; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Cursor | The Cursor tool exposed by this server. |
{
"mcpServers": {
"formswrite": {
"command": "npx",
"args": ["-y", "@formswrite/mcp"],
"env": {
"FORMSWRITE_API_TOKEN": "fw_..."
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| FORMSWRITE_API_TOKEN | Credential the server authenticates with. | Yes |
| FORMSWRITE_MCP_URL | Endpoint or connection string the server talks to. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.