Skip the install. Get this working in under 2 minutes.
Start a free trial on cloud.anythingmcp.com, add the Fillout in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.
Summary
Read Fillout (modern form/survey builder) form definitions and submissions from any AI agent. 6 tools, Bearer auth.
Prueba a pedir
Prompts de ejemplo para Fillout
Haz clic en un prompt para copiarlo. Pégalo en Claude, ChatGPT, Cursor, Gemini, Copilot u OpenClaw para ejecutarlo contra este conector.
Claude es IA y puede equivocarse. Verifica siempre las respuestas.
💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → Fillout, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
Fillout + Gemini
Read Fillout (modern form/survey builder) form definitions and submissions from any AI agent. 6 tools, Bearer auth.
Requisitos previos
Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:
FILLOUT_API_KEY
Paso 1 — Obtener credenciales
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.
Paso 2 — Instalar el adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Paso 3 — Añadir el conector en Gemini
Gemini CLI lee servidores MCP desde ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json en Windows). Añade:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Obtén tu MCP API key desde AnythingMCP → Perfil → MCP API Keys → Nueva Key.
- Guarda el archivo y reinicia
gemini. - Ejecuta
/mcpen la Gemini CLI —Filloutdebería aparecer como disponible. - Vertex AI Studio: pasa
https://cloud.anythingmcp.com/mcpal arraytoolsde tu petición con el mismo header Bearer.
Herramientas disponibles
| 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 soportan MCP? Sí — Gemini CLI ≥ 0.4 y la API de tools de Vertex AI aceptan conectores MCP httpUrl con header Bearer.
Siguientes pasos
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