CrowdOS MCP

An official MCP server provided by CrowdOS that allows AI agents to run synthetic focus groups, debates, and pricing studies using a census-grounded panel of diverse personas. It enables agents to gather sentiment, compare options, and test pricing strategies without relying on a single model's opinion.

Visit CrowdOS

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

OAuth sign-inEndpoint checked 2026-10-26Operated by CrowdOS

You need:add one URL, or one pip installcreate an MCP key at /account/api-keysAuthorization: Bearer crowd_... with an MCP key

MCP endpoint (Streamable HTTP)

https://api.crowdos.ai/mcp

Vendor documentation

What you can do with it

Run sentiment voting studies to gauge public opinion
Conduct multi-round debates to track opinion convergence
Perform A/B/C/D testing to determine winning options
Estimate pricing sensitivity using Van Westendorp studies

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http crowdos-mcp https://api.crowdos.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add crowdos-mcp --url https://api.crowdos.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable crowdos-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "crowdos-mcp": {
      "url": "https://api.crowdos.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "crowdos-mcp": {
      "type": "streamableHttp",
      "url": "https://api.crowdos.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start crowdos-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "crowdos-mcp": {
      "type": "http",
      "url": "https://api.crowdos.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http crowdos-mcp https://api.crowdos.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "crowdos-mcp": {
      "url": "https://api.crowdos.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "crowdos-mcp": {
      "serverUrl": "https://api.crowdos.ai/mcp"
    }
  }
}

Let your agent find its tools

Find servers like CrowdOS MCP from your agent. Add Koskamo once to search the index for endpoints, access requirements, and client setup. Public discovery needs no key.

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