Claude + MCP for Automation

Advanced guide • 18 min read • Technical background recommended

Claude Code is the game-changer. Combined with Model Context Protocol (MCP), you can build AI agents that actually run your business.

What Is Claude Code + MCP?

Claude Code: An interface where Claude runs your code, reads files, and interacts with your systems in real time.

MCP: A protocol that connects Claude to your tools (Slack, Salesforce, spreadsheets, databases, etc.) so it can take actions.

Together: Claude becomes your VP of Operations. You tell it what to do, it builds the system, runs it, and reports back.

Workflow Example: Hiring Agent

You want an agent that:

Receives resumes from your email
Scores them using your rubric
Schedules interviews in Calendly
Sends offer letters
Reports weekly hiring metrics

Using Claude Code, you can build this in 2 hours. The agent runs autonomously. You check in once a day.

Building Your First Agent

Step 1: Define the Task

Build me a hiring agent that: 1. Reads resumes from a folder 2. Scores each on: technical fit, culture signals, growth trajectory (1-10 each) 3. Creates a ranking spreadsheet 4. Sends me daily summaries via email Rubric: - Technical fit: 7+ years in [STACK] or proven equivalent - Culture signals: ownership, learning bias, startup experience - Growth trajectory: IC → Lead → Manager or deep specialist Use Claude Code to build and test it.

Step 2: Claude Builds It

Claude will:

Write Python script to read your resume folder
Create scoring logic based on your rubric
Set up Google Sheets API to write results
Create an email notification system

Step 3: You Run It Daily (Or Schedule It)

Once built, the agent runs autonomously. Each morning, you get a summary of top candidates.

Advanced: MCP Connections

MCP lets Claude connect to external systems. Available MCPs include:

Slack: Claude reads/sends messages, threads, files
Google Workspace: Sheets, Docs, Gmail
Salesforce: Opportunities, leads, deals
Linear: Issues, sprints, milestones
Custom: Your own API

Example: "When a prospect replies in Slack, Claude reads the message, scores their intent, and if high-intent, creates a Salesforce opportunity."

Real Use Cases for Founders

Sales ops automation: Claude reads incoming emails → scores leads → updates CRM → sends follow-up emails → reports weekly pipeline

Recruiting pipeline: Claude reads resumes → scores candidates → schedules interviews → sends offer letters → tracks acceptance rate

Content calendar: Claude reads your talking points → generates social posts → schedules on LinkedIn → tracks engagement

Customer support triage: Claude reads support tickets → assigns priority → drafts responses → routes to right team

Limitations & When NOT to Use Agents

Agents are great for:

High-volume, repetitive tasks (screening, scheduling, reporting)
Tasks with clear rubrics (scoring resumes against defined criteria)
Multi-step workflows (read → analyze → act → report)

Agents are bad for:

Decisions requiring human judgment (hiring final decision, customer refund eligibility)
Tasks requiring brand voice (customer-facing emails should be you, not AI)
Complex negotiation (use Claude as advisor, not agent)

Cost: Is This Worth It?

Claude Code costs $20/month. If it saves you 5 hours/week, that's $100/hour productivity.

ROI: $20 to save $500/month in labor. Yes.

Getting Started

Identify your most time-consuming, repetitive task
Write a clear rubric or rule for Claude to follow
Use Claude Code to build a prototype
Test with 10 examples
Deploy and automate

Want to build agents for your specific workflows? Let's architect your automation stack.

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