Skip the install. Get this working in under 2 minutes.
Start a free trial on cloud.anythingmcp.com, add the Wufoo 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 Wufoo (SurveyMonkey-owned classic form builder) submissions and form definitions from any AI agent. 6 tools, Basic auth, subdomain-templated URL.
Prueba a pedir
Prompts de ejemplo para Wufoo
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 → Wufoo, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
Wufoo + Gemini
Read Wufoo (SurveyMonkey-owned classic form builder) submissions and form definitions from any AI agent. 6 tools, Basic auth, subdomain-templated URL.
Requisitos previos
Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:
WUFOO_SUBDOMAIN, WUFOO_API_KEY
Paso 1 — Obtener credenciales
com/api).
Setup:
- Sign in to Wufoo → top-right avatar → Account → API Information.
- Note your API key and your subdomain (e.g. if URL is
acme.wufoo.com→acme). - Set:
WUFOO_SUBDOMAIN= your subdomainWUFOO_API_KEY= the API key
Authentication: HTTP Basic with username=API_KEY, password='footastic' (literal — Wufoo's convention).
Subdomain in base URL: https://{{WUFOO_SUBDOMAIN}}.wufoo.com/api/v3.
Form/Entry model: forms (the definitions) contain fields (the questions). Entries (submissions) are field_id→value mappings keyed by short_field_id strings like 'Field1', 'Field2'.
Pagination: ?pageStart=N&pageSize=M (max 100).
…(continued in the in-app connector instructions)
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 —Wufoodebería 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 |
|---|---|
wufoo_list_forms | List all forms on the account |
wufoo_get_form | Fetch a single form's metadata by its Hash |
wufoo_get_form_fields | Get a form's fields (the questions) |
wufoo_list_form_entries | List submissions (entries) for a form |
wufoo_count_form_entries | Return just the entry count for a form (cheap — no entry payload) |
wufoo_create_form_entry | Submit a new entry to a form (programmatic 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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