MCP starter bundle

Give your AI assistant the systems context it is missing.

The Made by AiMe MCP Bundle starts with the two context layers most teams need first: code intelligence and safe database visibility. Add the rest of the stack when your assistant needs docs, git history, API testing, security checks, or workspace context.

Runs locally after setup Claude Desktop, Cursor, Windsurf Built for owned-stack AI work

What the bundle gives your assistant

Choose the MCP layer that matches the job: repo context, database visibility, git history, API checks, workspace access, or security review support.

C

Codebase context

Repo-aware search, file discovery, and project context so AI coding tools can check the actual system before suggesting changes.

D

Database visibility

Schema inspection and database-aware context for assistants that need to reason about tables, fields, and relationships.

G

Git intelligence

Use commit history and working tree context to understand why code changed, not just what the current file says.

A

API testing

Give agents a practical path to validate backend behavior with requests and assertions instead of stopping at vague confidence.

W

Workspace tools

Connect AI work to Gmail, Calendar, Drive, and Sheets when the task moves beyond the repo into operations.

S

Security checks

Keep reviews grounded with dependency, secret, and policy checks when speed starts to create risk.

Pricing matrix

Start narrow with the paid Starter Bundle, or buy individual MCP products where a standalone Gumroad listing is available. Full-stack pricing stays marked as TBD until the full bundle checkout is locked.

Plan Monthly price Included MCP tools Best fit Checkout
Starter Bundle $49/mo Code Intel + DB Suite AI coding work that needs repo context and database visibility first. Buy on Gumroad
Code Intelligence $19/mo Code search, project context, repo-aware AI assistance. Developers who only need the codebase layer. View listing
Google Workspace MCP $29/mo Gmail, Calendar, Drive, and Sheets context. Operators connecting AI assistants to day-to-day business systems. View listing
DevSecOps MCP $49/mo Security, dependency, and policy checks. Teams that want safer review loops as AI changes more code. Listing TBD
Full MCP Bundle TBD Starter plus docs, git, API testing, workspace, and security layers. Operators past experimentation who want a broader AI operating layer. Checkout pending

Buy the bundle that is ready now.

Starter keeps the first purchase focused: code context plus database context. That is enough to make AI coding assistants materially less blind without asking buyers to adopt the whole stack at once.

Get Starter on Gumroad → Read the Code Intel breakdown

Secure checkout is handled by Gumroad.

Install path

Each MCP server is intended to run locally after setup. Use the validated setup instructions provided with the bundle, then restart your MCP client so the tools appear.

1
Buy on Gumroad

Use the checkout link and keep your license details handy.

2
Add MCP config

Paste the server entry into Claude Desktop, Cursor, or Windsurf.

3
Restart and test

Ask your assistant to list available MCP tools, then run a small repo or schema check.

Setup note: Public package commands will return here after CTO validates the package route. For launch, use the instructions provided after checkout instead of advertising an unsupported npm path.

FAQ

Short answers for buyers deciding whether this is the right starting point.

Is this the same as the homepage?

No. This route is the dedicated MCP Bundle page, with MCP-specific features, pricing, and checkout links.

Which clients does it support?

The setup flow is intended for Claude Desktop, Cursor, Windsurf, and other MCP-compatible clients once the validated instructions are provided.

Does it run locally?

Yes. The listed MCP servers are designed to run locally after setup, with any required credentials supplied through environment variables.

Why is full bundle pricing TBD?

The public checkout path that is live today is the Starter Bundle. Full-stack pricing should stay unset until the complete product and checkout path are locked.