Feature spec
Goal: Send a clear invoice after finishing a job.
- Add a client, line items, a due date, and payment instructions.
- Preview the total before exporting a PDF.
- Keep an editable draft if export fails.
App Overview
Joey MCP Client
Joey MCP Client is an open-source AI chat app that lets you connect to any AI model through OpenRouter and extend those models with powerful tools and services.
$4.99 · In-app purchases
PRICE
$4.99
In-app purchases
BUSINESS MODEL
Paid
No overall Grossing estimate available
RATING
N/A
No ratings yet
Evidence scope: No current overall US chart position is available. Category-chart positions shown in discovery are a separate scope. Revenue is a directional model estimate, not verified earnings.
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Build Kit
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A product spec, screen plans, and build steps for your coding agent.
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What's included16 files
A product spec, phased build plan, differentiation notes, and screen references.
- START_HERE
- AGENTS
- EVIDENCE
- SPEC
- BUILD_PLAN
- DIFFERENTIATION
- skills/
- screens/
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Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.
Screen plan
Invoice editor: Client at the top, editable line items in the middle, total and preview action at the bottom.
States: Empty draft, validation errors beside each field, exporting, and a retry action that preserves the draft.
Differentiate and validate
Hypothesis: Contractors need faster repeat invoices more than more templates.
First experiment: Test duplicating a previous job with five contractors. Watch where they hesitate before expanding the feature set.
The full kit adds a phased build plan, evidence notes, tool prompts, and implementation guidance. It is a plan for your coding agent, not a finished app.
Usage: Mechanics are fair game; never reuse the original name, branding, assets, or verbatim copy.
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Free quick prompt For a smaller starting point
Quick prompt
Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
// RORK SYSTEM PROMPT
Rork plan preview for Joey MCP Client: map the core Productivity workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
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Opportunities
AI-GENERATED OPPORTUNITY HYPOTHESES
These are generated suggestions, not verified review quotations. Check current App Store reviews and speak with users before treating a possible gap as a requirement.
Hypothesis 1
Introduce more robust client categorization and tagging.
Assumption to check: Limited client management features compared to competitors.
Validate with people who use this workflow before building.
Hypothesis 2
Implement cloud sync for seamless access across devices.
Assumption to check: No cloud sync options, making data access difficult.
Validate with people who use this workflow before building.
Hypothesis 3
Add functionality for reminders and notifications for tasks.
Assumption to check: Lack of reminders for tasks, leading to missed deadlines.
Validate with people who use this workflow before building.
Hypothesis 4
Provide insights and analytics on client interactions and task completion.
Assumption to check: No analytics or reporting features.
Validate with people who use this workflow before building.
App evidence
Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
App Store description
Joey MCP Client is an open-source AI chat app that lets you connect to any AI model through OpenRouter and extend those models with powerful tools and services. Chat with any AI model Access hundreds of leading AI models through OpenRouter, including GPT, Claude, Gemini, Deepseek and more. Joey connects via OAuth with configurable spending limits, so you stay in control of your usage — no surprise bills, no API keys to manage. Connect your tools and services Joey supports the Model Context Protocol (MCP), an open standard that lets AI models interact with external tools and services. Connect to multiple remote MCP servers simultaneously over HTTP, giving your AI conversations access to services like Google Drive, Slack, email, calendars, CRMs, and more. Image support Send images to vision-capable models directly from your camera, gallery, or clipboard. Great for asking questions about screenshots, documents, photos, and more. Advanced MCP features Joey goes beyond basic tool calling with support for advanced MCP capabilities: ▶ Sampling - MCP servers can request additional LLM completions, enabling complex multi-step AI workflows ▶ Elicitation - MCP servers can present interactive forms to gather input from you mid-conversation Open source Joey is fully open source. Browse the code, report issues, or contribute on GitHub: https://github.com/benkaiser/joey-mcp-client-flutter
Written user reviews are not shown here. Check current App Store reviews >
Screenshots
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Build scope
Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.
Define the first version
Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.
Set boundaries
Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.
Check the hard parts
Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.
SUGGESTED BUILD STACK
React Native
Expo
Zustand
Supabase
TypeScript
React Navigation
BUILD KIT DIFFICULTY
Advanced
From the Build Kit assessment.
A reliable timeline needs an agreed scope and a technical check. Ask your agent to estimate the phases in BUILD_PLAN.md after that review.
