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Summary
Drive SurveyMonkey from any AI agent: surveys, responses, collectors, contacts. 8 tools, OAuth2 Bearer auth.
Try asking
Example prompts for SurveyMonkey
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 → SurveyMonkey, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
SurveyMonkey + Gemini
Drive SurveyMonkey from any AI agent: surveys, responses, collectors, contacts. 8 tools, OAuth2 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:
SURVEYMONKEY_ACCESS_TOKEN
Step 1 — Get credentials
Setup:
- Register at https://developer.surveymonkey.com → Add new app → Private app.
- Pick scopes: Surveys (Read), Responses (Read), Collectors (Read+Write), Contacts (Read+Write), Webhooks (Read+Write).
- Run the OAuth2 flow to obtain an access token. Set
SURVEYMONKEY_ACCESS_TOKEN. - SurveyMonkey tokens are LONG-LIVED — but can be revoked by user via app dashboard.
Authentication: Authorization: Bearer ${SURVEYMONKEY_ACCESS_TOKEN}.
Survey vs Collector vs Response:
- Survey: the question design.
- Collector: a distribution channel (weblink/email/popup/embed) attached to a survey.
- Response: a submission to a collector.
…(continued in the in-app connector instructions)
Step 2 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(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 —SurveyMonkeyshould 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 |
|---|---|
surveymonkey_get_user | Return the user the token belongs to |
surveymonkey_list_surveys | List surveys |
surveymonkey_get_survey_details | Fetch a survey's full structure with pages[] |
surveymonkey_list_survey_responses | List responses to a survey (bulk endpoint includes full answer data) |
surveymonkey_get_response | Fetch one response in full detail |
surveymonkey_list_collectors | List collectors (distribution channels) attached to a survey |
surveymonkey_list_contact_lists | List contact lists in the account (used for email distribution collectors) |
surveymonkey_add_contact_to_list | Add a contact to a contact list |
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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