Skip to main content
Glama

What it does

Building the wrong thing is a direct route to startup failure. Validate helps you avoid that by structuring the messy process of customer discovery into a repeatable workflow:

  1. Define testable hypotheses: break your idea into specific assumptions

  2. Find the right people: build ideal customer profiles, source contacts

  3. Run discovery calls: AI-generated call guides following Mom Test principles

  4. Capture insights: structured debrief, transcript analysis, bias detection

  5. Synthesize and decide: cross-call pattern analysis, pivot signals, validation scorecards

It runs as an MCP server, so it works inside Claude Desktop, Claude Code, or any MCP-compatible client.

Related MCP server: Cantrip

Architecture

Layer

Tech

Protocol

Model Context Protocol (stdio + SSE transport)

Runtime

Node.js / TypeScript

Database

SQLite via Drizzle ORM (WAL mode, auto-creates tables)

AI

Claude API for coaching, transcript analysis, and synthesis

Packaging

.mcpb bundle for one-click install

Deployment

Local (stdio) or remote (Fly.io via SSE)

Installation

Download the latest validator.mcpb from Releases, then double-click or drag it into Claude Desktop.

Manual setup

git clone https://github.com/harrykeen/validator.git && cd validator
npm install && npm run build

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "validator": {
      "command": "node",
      "args": ["/path/to/validator/dist/server.js"],
      "env": {
        "ANTHROPIC_API_KEY": "sk-...",
        "DB_MODE": "sqlite",
        "DB_PATH": "~/.validator/data.db"
      }
    }
  }
}

Tools

Project & Hypothesis Management

Tool

Description

validate_idea

Start validating a new idea — welcome message and coaching questions

create_project

Create a project record after the initial discussion

list_projects

List all validation projects

get_project_status

Full project overview with hypotheses, progress, and metrics

create_hypothesis

Add a testable hypothesis with acceptance criteria

update_hypothesis

Update status or confidence score

list_hypotheses

List hypotheses with confidence scores

prioritize_hypotheses

AI-ranked by importance and testability

Customer Identification

Tool

Description

create_icp

Define an ideal customer profile

suggest_channels

AI suggests where to find your target customers

add_contact

Add a potential interviewee

list_contacts

List contacts with outreach status

update_contact_status

Track progress through the pipeline

search_linkedin

LinkedIn search queries for your ICP

get_linkedin_profile

Fetch LinkedIn profile details

Outreach

Tool

Description

generate_outreach

AI-generated personalised outreach (no pitch, short, specific)

list_outreach

View all messages with status

update_outreach_status

Track sends and responses

get_outreach_stats

Response rates by channel

suggest_outreach_variant

AI A/B variant generation

Conversation Coaching

Tool

Description

generate_call_guide

AI discussion guide following Mom Test principles

get_call_principles

Mom Test principles reference

start_debrief

Structured post-call debrief

record_insight

Capture insights tagged to hypotheses

analyze_transcript

AI transcript analysis with bias detection

Synthesis & Decision

Tool

Description

synthesize_insights

Cross-call pattern analysis

get_validation_scorecard

Hypothesis evidence summary

suggest_next_steps

AI-recommended next actions

detect_pivot_signals

Pivot indicator analysis

get_progress_report

Metrics dashboard

Prompts

Prompt

Description

start-validation

Kick off idea validation

prep-for-call

Pre-call coaching

debrief-call

Post-call insight extraction

weekly-review

Weekly synthesis and planning

pivot-or-persevere

Direction decision analysis

Development

npm install          # install dependencies
npm run build        # compile TypeScript
npm run dev          # watch mode
npm run lint         # check linting
npm run format       # auto-fix formatting
npm run test         # run test suite
npm run bundle       # build .mcpb package

Environment variables

Variable

Description

Default

ANTHROPIC_API_KEY

Claude API key (required for AI features)

DB_MODE

sqlite or postgres

sqlite

DB_PATH

SQLite database path

./validator.db

DATABASE_URL

PostgreSQL connection string

TRANSPORT

stdio or sse

stdio

PORT

Port for SSE transport

3000

Deployment

Validate can run remotely on Fly.io using SSE transport:

fly launch
fly secrets set ANTHROPIC_API_KEY=sk-...
fly volumes create validator_data --size 1
fly deploy

See Dockerfile and fly.toml for the production configuration.

License

MIT

Related MCP Connectors

Related MCP Servers