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Consulting · Full playbook

MCP Config Consultant

Help businesses connect their AI tools to real infrastructure — browsers, databases, APIs, deployment pipelines — using Model Context Protocol. Sell setup services and pre-built config packs.

Experience
Intermediate
Planning time
10-20 hours/week
Starter budget estimate
$0-$100

Illustrative planning ranges, not earnings projections. Check the full costs and customer demand for your own situation.

Is this a fit?

Help businesses connect their AI tools to real infrastructure — browsers, databases, APIs, deployment pipelines — using Model Context Protocol. Sell setup services and pre-built config packs.

Skills to bring or develop

  • MCP Protocol
  • Claude Code / Cursor
  • DevOps Basics
  • Client Communication

The starting sequence

  1. Learn the MCP protocol and set up 5+ servers yourself
  2. Create pre-built config packs for common stacks
  3. Offer free MCP audits to 10 businesses
  4. Productize into self-serve config packs on marketplace

Find your first customers

Treat this customer profile as a starting hypothesis. Talk to people in this role and find out what they already do, what it costs them, and whether they want help.

Role

CTO / Senior Developer at startup

Company size

5-50 employees

Industry

SaaS / Tech

Problems to investigate

  • Team wastes time copy-pasting between AI and tools
  • AI suggestions lack context about their actual infrastructure
  • No one on team has time to learn MCP protocol
  • Want AI-powered debugging but don't know where to start

Channels to test

  • Twitter/X
  • LinkedIn
  • Communities
  • YouTube

First launch approach

Post MCP tutorials on Twitter/LinkedIn, offer free MCP audits, convert to paid setup

Ways to find your first customer

  • Post a viral Twitter thread about MCP (template provided)
  • Offer free MCP audits to 10 businesses in your network
  • Write a blog post showing before/after workflow with MCP
  • Join AI/dev Discord communities and answer MCP questions
  • Create a YouTube video showing MCP setup in real-time

Content ideas

  • MCP Servers: The AI Superpower Nobody Talks About
  • I connected AI to my browser — here is what happened
  • Chrome DevTools MCP setup in 5 minutes

Shape the offer & delivery

These are example packages to adapt, not current market rates or promises of sales. Choose one deliverable, set a revision limit, and test the scope with a real buyer before expanding.

Starter Setup

$497 example price

  • 3 MCP servers configured
  • Chrome DevTools + Supabase + GitHub
  • Documentation
  • Email support for 30 days

Full Stack Setup

$1,497 example price

  • 5-8 MCP servers configured
  • Custom servers for your stack
  • Team training session
  • Config documentation
  • 60-day support

Enterprise Package

$3,997 example price

  • Unlimited MCP servers
  • Custom MCP server development
  • CI/CD integration
  • Security review
  • Quarterly config updates
  • Dedicated Slack channel

Build and deliver the offer

Service delivery

Packages

Name

Single Integration

Deliverables

  • 1 MCP server configured and connected to a client's AI tool

Timeline

1 week

Included in this example

  • Config setup
  • Testing against real workflows
  • Handoff documentation

Outside this example

  • Custom MCP server development
  • Ongoing maintenance

Name

Full Stack Setup

Deliverables

  • Multiple MCP integrations across a client's tool stack (databases, browsers, deployment)

Timeline

2-3 weeks

Included in this example

  • Architecture planning
  • Multiple server configs
  • Security review
  • Team training

Name

Config Pack (productized)

Deliverables

  • Pre-built config templates for a common tool combination, sold as a repeatable product

Timeline

Instant delivery after purchase

Included in this example

  • Config files
  • Setup instructions
  • Basic email support

Client onboarding

Step

Client provides an inventory of the tools/systems they want AI-connected (databases, APIs, internal tools)

Who handles it

client

Step

Confirm which credentials/access the client can safely grant vs. what needs a more limited scope

Who handles it

client

Step

Test each integration in a sandboxed/non-production environment first

Who handles it

you

Kickoff conversation

  • Map exactly which systems need to be AI-accessible and what actions the AI should be allowed to take on each
  • Identify security/compliance constraints upfront — some industries restrict what data AI tools can touch
  • Confirm the client's technical team can maintain the config after handoff, or if they need a retainer

Your launch roadmap

Work through the phases at your own pace. Durations and task hours are estimates; client conversations, sales, and other outcomes depend on the response you receive. Growth and exit steps are optional later decisions.

01 · Foundation 3 days · suggested pace

Master MCP setup and create your service offering

  1. Install Chrome DevTools, Supabase, GitHub, Filesystem, and Slack MCP servers. Document the process, common errors, and fixes. This becomes your expertise base.

    Target deliverable: Working MCP setup with 5+ servers

    Tool examples: Claude Code, Terminal

    Planning allowance: 4 hours · AI can assist; review the output

  2. Build ready-to-use config bundles: (1) Next.js + Supabase + Vercel stack, (2) Python + Postgres + Railway stack, (3) General productivity (DevTools + GitHub + Slack). Include settings.json files and setup scripts.

    Target deliverable: 3 config pack JSON files with setup scripts

    Tool examples: VS Code, Claude Code

    Planning allowance: 4 hours · AI can assist; review the output

  3. Create a one-page sales doc showing the before/after of AI workflows with MCP.

    Target deliverable: Service packages document + pricing page

    Tool examples: Notion, Canva, ChatGPT

    Planning allowance: 3 hours · AI can assist; review the output

  4. Screen record yourself setting up Chrome DevTools MCP, asking Claude to screenshot a site, run a Lighthouse audit, and fix a performance issue. This is your primary sales asset.

    Target deliverable: Demo video showing MCP in action

    Tool examples: Loom, Claude Code, Chrome

    Planning allowance: 2 hours

02 · Launch 7 days · suggested pace

Start outreach and land first clients

  1. Use the provided thread template to post about MCP. Focus on the "AI superpower nobody's talking about" angle. Include your demo video. Target dev/founder audience.

    Target deliverable: Twitter thread posted

    Tool examples: Twitter/X, ChatGPT

    Planning allowance: 2 hours · AI can assist; review the output

  2. DM or email 10 businesses/developers. Offer a free 15-minute call where you show them what MCP could do for their specific stack. This is your top-of-funnel.

    Target deliverable: 10 audit calls scheduled

    Tool examples: LinkedIn, Twitter, Calendly

    Planning allowance: 4 hours

  3. Publish your MCP guide on your blog, Medium, Dev.to, or Hashnode. Optimize for "MCP server setup" and "Claude Code MCP" keywords. Cross-post everywhere.

    Target deliverable: Blog post published on 2+ platforms

    Tool examples: Blog Platform, ChatGPT

    Planning allowance: 3 hours · AI can assist; review the output

  4. Follow up with audit call attendees. Show them the demo, explain the ROI (30min workflows → 3min), present Starter or Full Stack package.

    Target deliverable: 2 paid clients signed

    Tool examples: Zoom, Calendly, Stripe

    Planning allowance: 4 hours

03 · Growth 14 days · suggested pace

Deliver, get testimonials, build content engine

  1. Configure MCP servers for your first 2-3 clients. Document everything. Create their team documentation. Record a walkthrough video for their team.

    Target deliverable: Completed setups with documentation

    Tool examples: Claude Code, Loom, Notion

    Planning allowance: 8 hours · AI can assist; review the output

  2. Ask clients to record a 60-second video about the before/after. Offer a small discount on future work in exchange. These testimonials close future deals.

    Target deliverable: 2-3 video testimonials

    Tool examples: Loom, Email

    Planning allowance: 2 hours

  3. Record 3-5 short videos: "MCP in 5 Minutes", "Chrome DevTools MCP Setup", "Supabase MCP for Founders". Each video is a lead magnet.

    Target deliverable: 3-5 YouTube tutorials published

    Tool examples: Loom, YouTube, Claude Code

    Planning allowance: 6 hours

  4. List your pre-built config packs on Gumroad or the Waymaker marketplace. This creates passive income alongside service revenue.

    Target deliverable: 3 config packs listed for sale

    Tool examples: Gumroad, Waymaker Marketplace

    Planning allowance: 3 hours

04 · Scale 2 months · suggested pace

Productize and build recurring revenue

  1. Some clients need MCP servers for niche tools (their CRM, their internal API, their monitoring system).

    Target deliverable: 2-3 custom MCP servers built

    Tool examples: TypeScript, MCP SDK, Claude Code

    Planning allowance: 15 hours · AI can assist; review the output

  2. Package everything into a course: video lessons, config templates, business templates. Sell via your content engine.

    Target deliverable: Self-paced course launched

    Tool examples: Waymaker, Loom, Notion

    Planning allowance: 12 hours · AI can assist; review the output

  3. Approach 5-10 web dev agencies and offer MCP setup as a white-label add-on they can sell to their clients. You do the work, they mark it up 50-100%.

    Target deliverable: 3-5 agency partnerships

    Tool examples: LinkedIn, Email, Google Docs

    Planning allowance: 6 hours

  4. Define a small, measurable version of this task. Use your own customer evidence and actual costs to decide what to do next.

    Target deliverable: Subscription product launched

    Tool examples: Stripe, Notion, Email

    Planning allowance: 4 hours

05 · Exit 60 days · suggested pace

Prepare your MCP consulting practice for sale, acquisition, or hands-off operation

  1. Create comprehensive standard operating procedures covering every repeatable process in your MCP consulting practice — client onboarding, delivery workflows, billing, and support. A buyer needs to run this without you.

    Target deliverable: Complete SOP handbook with video walkthroughs

    Tool examples: Notion, Loom, Google Docs

    Planning allowance: 12 hours · AI can assist; review the output

  2. Record the questions this step raises for your business, location, and circumstances. Confirm requirements and assumptions with current official sources and a qualified professional before acting.

    Target deliverable: Valuation estimate with supporting financials

    Tool examples: Google Sheets, ChatGPT

    Planning allowance: 6 hours · AI can assist; review the output

  3. Organize all financial records, contracts, customer data, IP documentation, and legal documents into a virtual data room that a buyer or their advisor can review.

    Target deliverable: Organized virtual data room

    Tool examples: Google Drive, Google Sheets

    Planning allowance: 10 hours

  4. Identify every area where the business depends on you personally. Delegate, automate, or document each one. Test by taking 2 weeks off and measuring impact.

    Target deliverable: Owner dependency scorecard (before/after)

    Tool examples: Notion, Zapier, Slack

    Planning allowance: 20 hours

  5. Create a teaser document (blind profile) for your MCP consulting practice and either list on marketplaces (Acquire.com, Flippa, Quiet Light) or reach out directly to 5-10 potential acquirers.

    Target deliverable: Teaser document + 5-10 buyer conversations started

    Tool examples: Acquire.com, Google Docs, Email

    Planning allowance: 8 hours · AI can assist; review the output

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Tools, budget & effort

These are tools named in the original playbook, offered as examples to evaluate. Check current capabilities, pricing, licensing, and data handling with the provider before subscribing. Start with the tools you already have.

  • Claude Code
  • Chrome DevTools MCP
  • Supabase MCP
  • GitHub MCP
  • Notion

Tools to evaluate

Item

Claude Desktop or similar MCP-client access

Why consider it

This is the actual product — you need hands-on MCP configuration experience across common servers

Item

A staging/test environment for new MCP configs

Why consider it

Never test a new integration directly against a client's live tools

Make the numbers your own

Include setup, subscriptions, selling, fulfillment, revisions, support, and your time. Use your actual inputs and compare a cautious case with a better case.

Open the experiment calculator →

AI roles & prompt templates

Assign a clear job, provide approved inputs, and review the result. These are role and prompt ideas; this page does not run AI or connect your accounts.

Backend Dev

Help me debug why this MCP server connection is failing

Use the first task above as your opening prompt. Include your audience, desired output, constraints, and how you will judge quality.

Build a personal AI team plan →

Your first small test

  1. Choose one customer. Find five people who have the problem described in this guide.
  2. Show one useful sample. Ask about their current process, priorities, and objections.
  3. Offer a clearly scoped pilot. Agree on deliverables, a price to test, and what success means.
  4. Record the evidence. Track responses, costs, hours, and what the buyer actually used. Decide whether to continue, change, or pause.

Explore related ideas

Adapted from Ashley’s Waymaker side-hustle playbooks, imported October 15, 2026. This is a published snapshot, not a live connection to your Waymaker account. Source examples are planning material, not verified customer outcomes. Explore Waymaker.

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