No install? Use cloud.anythingmcp.com directly.
Sign in, install the Fillout in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.
TL;DR
Read Fillout (modern form/survey builder) form definitions and submissions from any AI agent. 6 tools, Bearer auth.
💡 Niente installazione? Vai direttamente su cloud.anythingmcp.com. Accedi, clicca Connectors → Fillout, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
Fillout + Gemini
Read Fillout (modern form/survey builder) form definitions and submissions from any AI agent. 6 tools, Bearer auth.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
FILLOUT_API_KEY
Step 1 — Ottieni le credenziali
com/help/developers).
Setup:
- Sign in to https://fillout.com → top-right avatar → Settings → Developer → API → Create API key.
- Set
FILLOUT_API_KEY.
Authentication: Authorization: Bearer ${FILLOUT_API_KEY}.
Form IDs: each form has a 32-character ID (visible in form URL). Use fillout_list_forms to discover.
Submission shape: each submission has questions[] array of {id, name, type, value}. Cross-reference with form questions for human-readable names.
Pagination: ?limit=N&offset=M. Submissions endpoint supports ?afterDate=ISO&beforeDate=ISO.
Out of scope here: form creation (UI), file uploads, webhook subscription management.
Step 2 — Installa l'adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Step 3 — Aggiungi il connettore in Gemini
Gemini CLI legge i server MCP da ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json su Windows). Aggiungi:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Ottieni la tua MCP API key da AnythingMCP → Profilo → MCP API Keys → Nuova Key.
- Salva il file e riavvia
gemini. - Esegui
/mcpnella Gemini CLI —Filloutdovrebbe essere elencato come disponibile. - Vertex AI Studio: passa
https://cloud.anythingmcp.com/mcpnell'arraytoolsdella richiesta con lo stesso header Bearer.
Tool disponibili
| Tool | What it does |
|---|---|
fillout_list_forms | List forms in the workspace |
fillout_get_form | Fetch a form's full definition: questions[] (id, name, type, options), settings |
fillout_list_submissions | List submissions for a form, with optional date range filter |
fillout_get_submission | Fetch one submission with full answers |
fillout_delete_submissions | Delete one or more submissions by ID |
fillout_create_submission | Programmatically create a submission |
FAQ
Gemini 1.5 Pro o 2.x supportano MCP? Sì — Gemini CLI ≥ 0.4 e la Vertex AI tools API accettano connettori MCP httpUrl con header Bearer.
Prossimi passi
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