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Summary
Read Fillout (modern form/survey builder) form definitions and submissions from any AI agent. 6 tools, Bearer auth.
Try asking
Example prompts for Fillout
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Fillout, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
Fillout + Gemini
Read Fillout (modern form/survey builder) form definitions and submissions from any AI agent. 6 tools, Bearer auth.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
FILLOUT_API_KEY
Step 1 — Get credentials
Setup:
- Sign in to https://fillout.com → top-right avatar → Settings → Developer → API → Create API key.
- Set
FILLOUT_API_KEY.
Authentication: Authorization: Bearer ${FILLOUT_API_KEY}.
Form IDs: each form has a 32-character ID (visible in form URL). Use fillout_list_forms to discover.
Submission shape: each submission has questions[] array of {id, name, type, value}. Cross-reference with form questions for human-readable names.
Pagination: ?limit=N&offset=M. Submissions endpoint supports ?afterDate=ISO&beforeDate=ISO.
Out of scope here: form creation (UI), file uploads, webhook subscription management.
Step 2 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Add the connector in Gemini
Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (
https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide showsYOUR_SERVER_ID.
Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID",
"headers": { "X-API-Key": "YOUR_MCP_API_KEY" }
}
}
}
- Get your MCP API key from AnythingMCP → MCP Servers → your server → API keys.
- Save the file and restart
gemini. - Run
/mcpinside the Gemini CLI —Filloutshould be listed as available. - Vertex AI Studio: pass
https://cloud.anythingmcp.com/mcp/YOUR_SERVER_IDto thetoolsarray of your request with the sameX-API-Keyheader.
Available tools
| 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
Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with custom headers.
Next steps
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