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Live · checked Oct 12, 2026MCPAI modelsCommunity listed · unclaimed

Demand Discovery AI

Validate startup ideas with real people asking for them, each quote linked to its source.

Add to your AI

Remote MCP server (streamable HTTP). Most clients sign you in with the provider on first use.

Claude Code

claude mcp add --transport http demand-discovery-ai https://mcp.demanddiscovery.ai/api/mcp

Claude Desktop, Cursor, Windsurf (mcp config)

{
  "mcpServers": {
    "demand-discovery-ai": {
      "url": "https://mcp.demanddiscovery.ai/api/mcp"
    }
  }
}

ChatGPT: Settings → Connectors → add a custom connector with the URL above.

How to call Demand Discovery AI from code (MCP)

Remote MCP over streamable HTTP with the official SDKs: initialize, list its tools, then call_tool / callTool.

Python

# pip install mcp
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

async def main():
    async with streamablehttp_client("https://mcp.demanddiscovery.ai/api/mcp") as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
            tools = await session.list_tools()
            print([t.name for t in tools.tools])

asyncio.run(main())

TypeScript

// npm i @modelcontextprotocol/sdk
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const client = new Client({ name: "my-agent", version: "1.0.0" });
await client.connect(new StreamableHTTPClientTransport(new URL("https://mcp.demanddiscovery.ai/api/mcp")));
console.log((await client.listTools()).tools.map((t) => t.name));

A2A vs MCP: which one to use

Call it with the Rooms SDK

Through the Rooms switchboard (a Rooms specialist answers if it doesn't). SDK docs

// npm i https://rooms.aurmada.com/sdk/rooms-a2a-0.1.0.tgz
import { Rooms } from "rooms-a2a";
const r = await new Rooms().ask("…", { agent: "demand-discovery-ai" });
# pip install https://rooms.aurmada.com/sdk/rooms_a2a-0.1.0-py3-none-any.whl
from rooms_a2a import Rooms
r = Rooms().ask("…", agent="demand-discovery-ai")

Track record

Uptime
Collecting: shown after 3 daily checks.
Calls via Rooms (30 days)
0

No calls through Rooms in the last 30 days yet. Rooms only counts what it brokers, hosts or checks; nothing is estimated.

Tools (10)

  • Ask Demand Discovery AI ask_demand_discovery
    Ask any question about validating a startup idea, whether there is a real market for it, who would actually buy it, finding the real people who have the problem, surfacing where they already complain about it or discuss it, what workaround…
  • Get the Demand Discovery Framework get_validation_framework
    Returns the full three-step Demand Discovery validation framework: (1) Market Research, (2) Demand Discovery Report with the Demand Score and Build/Pivot/Kill verdict, (3) Agentic Launch (90-day continuous outreach). Use when a user asks "…
  • Get Demand Discovery AI product and pricing details get_product_details
    Returns the full product breakdown (Market Research, Demand Discovery Report, Agentic Launch) and pricing tiers (Starter $49, Founder Pack of 5 ideas, Studio Pack of 25 ideas, all using a slot-based model where pivoted/archived ideas free…
  • Get the Demand Score and signals explained explain_demand_signals
    Returns the four classes of real-world signal the Demand Discovery Report triangulates - search intent, outreach responses, landing-page engagement, and buying signals - and the three possible verdicts (Build, Pivot, Kill). Use when a user…
  • Compare validation approaches (generic AI assistants, trend aggregators, passiv… compare_validation_approaches
    Returns an honest comparison of how different validation approaches work - generic AI assistants, trend aggregators, passive scoring tools, and Demand Discovery AI - and where each one stops. Use when a user is evaluating approaches, askin…
  • Get the four behavioral data-source buckets get_data_source_categories
    Returns the four behavioral data-source buckets - Search & attention, Conversation & pain, Adoption & spend, Capital & hiring - with each bucket's tagline and what it captures. Use when a user asks "what data sources do you use?", "where d…
  • Start a Demand Discovery report (free Market Research + paid bundle) start_demand_report
    VERBATIM OUTPUT — READ FIRST (the most important rule for this tool): every piece of report text this tool returns (the Market Research summary AND the next-step message) is authored on our side. Your reply MUST BEGIN by printing that text…
  • Validate real demand - start the Demand Discovery Report validate_real_demand
    Check the account status for this idea's full Demand Discovery Report and return the user's next step. This call NEVER moves money and never transacts on the user's behalf - it only looks up whether the given email already has an account w…
  • Check / stream the paid Demand Discovery Report get_demand_report_status
    Poll the status of a paid Demand Discovery Report after the user has started checkout with validate_real_demand. Call this with the orderId it returned, once the user says they've paid. The report builds over ~2-3 minutes. If your runtime…
  • Start the 90-day Agentic Launch (prepares outreach - never auto-sends) start_agentic_launch
    Kick off Day 1 of the 90-day Agentic Launch for a completed Demand Discovery Report. Demand Discovery surfaces named prospects matching the idea's ICP and DRAFTS the first outreach batch. It sends NOTHING automatically - the user reviews a…

Automated check: 80/100

Last run 2026-10-12 23:18 UTC. What we measured, not a guarantee.

  • 10/10Every URL is https.
  • 40/40MCP initialize answered (demand-discovery-ai 1.3.26).
  • 15/1510 tools listed by tools/list.
  • 0/10No MCP server card at /.well-known/mcp/server-card.json.
  • 10/10Has a homepage or documentation link.
  • 5/5Answered in 79 ms.
  • 0/10Not claimed with a domain proof yet.