Inquira MCP server
{
"mcpServers": {
"getinquira-inquira": {
"type": "http",
"url": "https://getinquira.com/api/mcp"
}
}
}{
"mcpServers": {
"getinquira-inquira": {
"type": "http",
"url": "https://getinquira.com/api/mcp"
}
}
}{
"mcpServers": {
"getinquira-inquira": {
"type": "http",
"url": "https://getinquira.com/api/mcp"
}
}
}{
"servers": {
"getinquira-inquira": {
"type": "http",
"url": "https://getinquira.com/api/mcp"
}
}
}{
"mcpServers": {
"getinquira-inquira": {
"type": "http",
"url": "https://getinquira.com/api/mcp"
}
}
}file .mcp.json (in your project root)file claude_desktop_config.jsonfile ~/.cursor/mcp.jsonfile .vscode/mcp.jsonfile ~/.codeium/windsurf/mcp_config.jsonversion 1.0.1
What it does
This MCP server connects AI agents to Inquira, an AI-powered survey platform. It lets agents create surveys from natural language descriptions, publish them, collect responses, and generate analysis reports with executive summaries and recommendations.
- Create a survey from a research goal in natural language and automatically publish it with a shareable link.
- Fetch responses from a published survey and view them within your agent conversation.
- Generate an AI analysis report that includes executive summary, key metrics, per-question insights, and prioritized action recommendations.
Tools this server exposes
| Tool | Does |
|---|---|
| create_survey | Generate a professional survey from a research goal using AI, with support for 5 languages and optional auto-publish; returns survey ID and shareable link. |
| get_surveys | List surveys belonging to your account, optionally filtered by status. |
| publish_survey | Publish a draft survey so it accepts responses via its share link. |
| get_survey_link | Get the shareable link for a published survey. |
| get_responses | Fetch the responses submitted to a survey. |
| get_ai_report | Generate an AI analysis report including executive summary, key metrics, per-question insights, and action recommendations. |
Before you enable it
An MCP server runs with whatever access you give it. Start with a development account rather than production, and check which tools the server exposes before you let an agent call them unattended.