No install? Use cloud.anythingmcp.com directly.
Sign in, install the Typeform 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 Typeform responses, list forms, fetch form definitions and manage workspaces from any AI agent. 10 tools, Personal Token Bearer auth. Optimized for read+analysis flows (the heavy form-builder write side is out of scope).
💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → Typeform, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
Typeform + Gemini
Read Typeform responses, list forms, fetch form definitions and manage workspaces from any AI agent. 10 tools, Personal Token Bearer auth. Optimized for read+analysis flows (the heavy form-builder write side is out of scope).
Requisitos previos
Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:
TYPEFORM_PERSONAL_TOKEN
Paso 1 — Obtener credenciales
Setup:
- Sign in to Typeform → top-right avatar → Settings → Personal tokens → Generate a new token.
- Grant the scopes you need — at minimum
forms:read,responses:read,workspaces:read. For write operations addforms:write. The connector'sinstructionsdocuments what scopes each tool requires implicitly. - Copy the token (shown ONCE). Set
TYPEFORM_PERSONAL_TOKEN.
Authentication: Bearer token. Same token for all endpoints.
Form IDs: each form has an 8-character alphanumeric ID (e.g. Wf2hrM), visible at the end of the form's public URL (yourname.typeform.com/to/Wf2hrM → ID is Wf2hrM). Use typeform_list_forms once to discover IDs you own.
…(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 —Typeformdebería 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 |
|---|---|
typeform_get_current_user | Return the user the personal token belongs to: email, alias, language |
typeform_list_forms | List forms (paginated) |
typeform_get_form | Fetch a form's full definition: title, fields[] (each with id, title, type, properties, ref, validations), thankyou_screens, welcome_screens |
typeform_list_responses | List responses (submissions) for a form, paginated |
typeform_delete_responses | Delete responses by their IDs (max 1000 per call) |
typeform_list_workspaces | List workspaces (folders for organizing forms) |
typeform_get_workspace | Fetch one workspace's full details including members[] and forms[] (URI list) |
typeform_list_form_messages | Get the localized messages (button text, validation errors, etc |
typeform_get_form_insights | Fetch aggregate insights (visits, submissions, completion_rate, average_time_to_complete, etc |
typeform_list_themes | List visual themes (color/font/background combos) available on the account |
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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