Skip to content
Demand Discovery AI™ logo

Demand Discovery AI™ MCP server

Which servers in the official MCP registry are Demand Discovery AI™'s own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-21

← Back to Demand Discovery AI™

Whose server it is
  • Registry nameai.demanddiscovery/mcpverified in the MCP registry

The registry name sits under demanddiscovery.ai. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-21
  • Stateanswerschecked 2026-10-21
  • Tools10
  • Server calls itselfdemand-discovery-ai
  • Server version1.3.26
  • Protocol version2025-06-18

On 2026-10-21 the server answered initialize and tools/list without a sign-in. First answer in 210 ms.

Should an agent connect itNot proven either way yet
  • Whether its tools do the product's job has not been judged yet.
  • Checked on 1 of the 7 days it takes to judge reliability.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 1, the first on 2026-10-21
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 1 so far
  • Answeredmeasuring1 of the 7 daily checks it takes to print a share
  • Median first answer225 ms
  • Space in an agent's context≈ 5,750 tokensthe definitions of all its tools (10), which an agent carries on every turn
  • Tool definitionsA · 100 of 100
  • Typed results10 of 10 toolsdeclared outputSchema: results come typed, read once
  • Every tool passes all six checks.

Worth a look

None of the five warning signs in these definitions.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers10 tools · read 2026-10-21
  • 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…

  • 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_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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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_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…

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

{
  "mcpServers": {
    "demanddiscovery": {
      "type": "http",
      "url": "https://mcp.demanddiscovery.ai/api/mcp"
    }
  }
}

Add it

Claude Code, in a terminal

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

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://mcp.demanddiscovery.ai/api/mcp as a custom connector in the settings.

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.