About Inquira
Inquira is a survey platform for teams and researchers that lets an AI agent create, publish, and analyze surveys from a research goal. Its tools cover survey links, response retrieval, and structured AI reports.
Key features
- 01Generate surveys from research goals
- 02Publish surveys and retrieve share links
- 03List account surveys by status
- 04Fetch survey responses
- 05Generate reports with metrics and recommendations
Use cases
- 01Create and publish a customer satisfaction survey
- 02Prepare a multilingual NPS survey
- 03Review responses to a recent survey
- 04Generate an analysis report for survey results
MCP support
The remote MCP server is available at Inquira’s API endpoint over Streamable HTTP. It exposes six tools for creating, publishing, listing, and analyzing surveys, with requests authenticated by an API key.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://getinquira.com/api/mcpclaude mcp add --transport http com-getinquira-inquira https://getinquira.com/api/mcp{"mcpServers":{"com-getinquira-inquira":{"type":"http","url":"https://getinquira.com/api/mcp"}}}Open in Cursor{"servers":{"com-getinquira-inquira":{"type":"http","url":"https://getinquira.com/api/mcp"}}}Open in VS Code{"mcpServers":{"com-getinquira-inquira":{"type":"http","url":"https://getinquira.com/api/mcp"}}}{"mcpServers":{"com-getinquira-inquira":{"serverUrl":"https://getinquira.com/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://getinquira.com/api/mcpAuth requiredTools
6| Parameter | Type | Required | Description |
|---|---|---|---|
| goal | string | Yes | Describe what you want to research. E.g. 'Customer satisfaction survey for our SaaS product after onboarding' |
| lang | enum | No | Language for the survey content. Defaults to 'en'.en | zh | ja | es | pt |
| publish | boolean | No | Whether to immediately publish the survey after creation. Defaults to false. |
Details
From the project READMEInquira Agent Plugin
Let your AI agent create, publish, and analyze surveys with Inquira — an AI-powered survey platform. This repo packages Inquira's remote MCP (Model Context Protocol) server as a plugin for OpenAI Codex, plus drop-in configs for Claude, Cursor, and any MCP-compatible client.
Inquira is published in the official MCP Registry as com.getinquira/inquira.
What is Inquira?
Inquira turns a one-sentence research goal into a professional survey, collects responses through a shareable link, and generates an AI analysis report — executive summary, key metrics, per-question insights, and prioritized recommendations. Through this plugin, an agent can do all of that for you in natural language.
Ask your agent things like:
- "Create a customer satisfaction survey for our SaaS onboarding and publish it"
- "Create a 10-question NPS survey in Japanese and give me the link"
- "Show me the responses for my latest survey"
- "Generate an AI analysis report for my survey"
Requirements
- An Inquira account (the free plan works)
- An Inquira API key — in the app, open Developer from your account menu and create a key (keys look like
sk-inquira-...) - An agent with MCP or plugin support (Codex, Claude Desktop, Cursor, …)
Available tools
| Tool | Description |
|---|---|
create_survey | Generate a professional survey from a research goal with AI (5 languages, optional auto-publish). Returns the survey ID and shareable link. |
get_surveys | List the surveys belonging to your account (filter 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: executive summary, key metrics, per-question insights, and action recommendations. |
Full MCP & API documentation: https://getinquira.com/docs/mcp
Install
Codex (as a plugin)
- Clone this repository (or point Codex at the repo URL if your version supports installing plugins from a URL).
- Open
inquira/.mcp.jsonand replaceYOUR_INQUIRA_API_KEYwith your key. Treat your local copy as private — never commit a real key. For a keyless setup, use the plain-MCP install below. - Install the
./inquiraplugin folder in Codex.
Codex (plain MCP, no plugin)
1. Store your API key as an environment variable so it stays out of config files and chat logs:
# Windows (PowerShell) — then restart your terminal:
setx INQUIRA_API_KEY "sk-inquira-xxxxxxxxxxxxxxxx"
# macOS / Linux — add to your shell profile:
export INQUIRA_API_KEY="sk-inquira-xxxxxxxxxxxxxxxx"
2. Add to ~/.codex/config.toml (or a project-scoped .codex/config.toml), then restart Codex:
[mcp_servers.inquira]
url = "https://getinquira.com/api/mcp"
bearer_token_env_var = "INQUIRA_API_KEY"
If your Codex version doesn't support bearer_token_env_var, fall back to an inline header (less safe — the key lives in the config file):
http_headers = { Authorization = "Bearer sk-inquira-..." }
Claude Desktop / Cursor / other MCP clients
{
"mcpServers": {
"inquira": {
"url": "https://getinquira.com/api/mcp",
"headers": {
"Authorization": "Bearer sk-inquira-YOUR_KEY"
}
}
}
}
What's in this repo
.agents/plugins/marketplace.json Marketplace manifest
inquira/
.codex-plugin/plugin.json Plugin metadata
.mcp.json MCP server config (add your API key here)
assets/logo.png Logo
skills/ Workflow skills for the agent
How it works
The plugin points your agent at Inquira's remote MCP server over Streamable HTTP at https://getinquira.com/api/mcp. Every request carries your API key as an Authorization: Bearer header. The server exposes the six tools above; your agent calls them to create, publish, and analyze surveys on your Inquira account.
Links
- Website: https://getinquira.com
- MCP & API docs: https://getinquira.com/docs/mcp
- Guide — connect Inquira to Claude: https://getinquira.com/guides/connect-inquira-to-claude-mcp
- Official MCP Registry entry:
com.getinquira/inquira
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.