Model Context Protocol server for CrowdOS — simulated focus groups as agent-callable tools.
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# CrowdOS MCP Server Simulated focus groups as agent-callable tools. Exposes the [CrowdOS](https://crowdos.ai) developer API as [Model Context Protocol](https://modelcontextprotocol.io) tools so AI agents (Claude Desktop, Cursor, Cline, LangGraph, CrewAI, AutoGPT, Devin, etc.) can run simulated public-opinion research with a single tool call. ## What this gives you Your agent can now do things like: ``` > Run a focus group on whether companies should mandate 4-day weeks. Use 200 agents from the us_general_population preset. [tool: run_focus_group] { "id": "ad4b3736-...", "sentiment_summary": { "positive_pct": 71.5, "negative_pct": 18.0, "neutral_pct": 10.5, "positive": 143, "negative": 36, "neutral": 21 }, "sample_responses": [ { "agent_name": "Maria Chen", "age": 34, "occupation": "Software engineer", "sentiment": "positive", "reasoning": "It would be great for parents — three full days with the kids ..." }, ... ] } ``` ## No-install option: the hosted server The same fifteen tools are served directly by the API — add `https://api.crowdos.ai/mcp` as a **remote MCP server** in any client that supports them (claude.ai connectors, Cursor, agent frameworks). OAuth-capable clients sign in and approve on first connect; the grant shows up as a revocable key under Account → API keys. Header-based clients pass `Authorization: Bearer crowd_...`. The hosted server is always current with the deploy; this pip package is the stdio alternative for desktop hosts. ## Installation ```bash pip install crowdos-mcp ``` Then mint an API key at <https://crowdos.ai/account/api-keys> — API access is included with the Pro and Max subscriptions (panel caps 750 and 2,000 respondents per study respectively). ## Configure for Claude Desktop Edit `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows): ```json { "mcpServers": { "crowdos": { "co…
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