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).
💡 Niente installazione? Vai direttamente su cloud.anythingmcp.com. Accedi, clicca Connectors → Typeform, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
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).
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
TYPEFORM_PERSONAL_TOKEN
Step 1 — Ottieni le credenziali
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)
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 —Typeformdovrebbe 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 |
|---|---|
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 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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