mcpField
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Inquira

Inquira

Remote
getinquira.comBusiness & Marketing0Updated 15w ago

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

  1. 01Generate surveys from research goals
  2. 02Publish surveys and retrieve share links
  3. 03List account surveys by status
  4. 04Fetch survey responses
  5. 05Generate reports with metrics and recommendations

Use cases

  1. 01Create and publish a customer satisfaction survey
  2. 02Prepare a multilingual NPS survey
  3. 03Review responses to a recent survey
  4. 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.

Endpointhttps://getinquira.com/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

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.

All endpoints
Streamable HTTPhttps://getinquira.com/api/mcpAuth required

Tools

6
ParameterTypeRequiredDescription
goalstringYesDescribe what you want to research. E.g. 'Customer satisfaction survey for our SaaS product after onboarding'
langenumNoLanguage for the survey content. Defaults to 'en'.en | zh | ja | es | pt
publishbooleanNoWhether to immediately publish the survey after creation. Defaults to false.

Details

From the project README

Inquira 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

ToolDescription
create_surveyGenerate a professional survey from a research goal with AI (5 languages, optional auto-publish). Returns the survey ID and shareable link.
get_surveysList the surveys belonging to your account (filter by status).
publish_surveyPublish a draft survey so it accepts responses via its share link.
get_survey_linkGet the shareable link for a published survey.
get_responsesFetch the responses submitted to a survey.
get_ai_reportGenerate 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)
  1. Clone this repository (or point Codex at the repo URL if your version supports installing plugins from a URL).
  2. Open inquira/.mcp.json and replace YOUR_INQUIRA_API_KEY with your key. Treat your local copy as private — never commit a real key. For a keyless setup, use the plain-MCP install below.
  3. Install the ./inquira plugin 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

License

MIT

Comments

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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.