Services / Claude and MCP

Claude & MCP Implementation

I help teams get real work out of Claude: skills that package your processes, MCP servers that connect Claude to your own tools and data, and agents built on top.

Get past the chat window

Most teams start with Claude as a chat assistant and stall there. The value shows up when Claude follows your process and reaches your data. Two tools make that possible.

Claude skills package a process. A skill holds the instructions, examples and scripts for one task, such as writing a post to your standards or running a technical SEO check. Anyone on the team can run it and get consistent output.

MCP servers connect Claude to your systems. The Model Context Protocol is an open standard for connecting AI applications to outside tools and data. With an MCP server, Claude can query Search Console, read a reporting database or call an internal API, inside limits you set.

What I build

  • Skills for marketing and SEO teams. Content briefs, blog posts with sourcing rules, audits and client reporting.
  • MCP servers for analytics and internal data. Search Console, GA4 and custom databases, usually read-only to start.
  • Plugins and browser extensions that put those tools where people already work.
  • Agents on top when a task needs multi-step decisions. See AI agent development.

Where this comes from

I build this way every day. For a nonprofit digital agency I create Claude skills, plugins and browser extensions that package SEO, AEO and reporting processes into one-click workflows. This site’s own content runs on skills that enforce sourcing and writing standards.

How an engagement runs

  1. Map the work. We list the tasks your team repeats and pick the two or three with the clearest payoff.
  2. Build and test. Skills first, MCP connections where live data is needed, each tested on real examples.
  3. Roll out. Short training, written documentation and a feedback loop for the first few weeks.

Related work

Questions

What is MCP?

The Model Context Protocol (MCP) is an open standard that lets an AI application such as Claude connect to outside tools and data through a server. An MCP server can let Claude read from a database, query an analytics account or take an action in another system.

What is a Claude skill?

A Claude skill is a packaged set of instructions, and sometimes scripts and reference files, that teaches Claude how to do a specific task your way. Skills are a practical way to turn a team's documented process into something anyone on the team can run.

Do I need MCP, or are skills enough?

Skills are enough when the job is mostly about following a process with information the user provides. MCP is worth building when Claude needs live access to your systems, such as analytics data, a CRM or an internal database.

Is it safe to connect Claude to company data?

It can be, with the right design. I limit each MCP server to the data and actions the job needs, prefer read-only access where possible, keep humans in the loop for changes, and document exactly what each connection can reach.

Do you only work with Claude?

No. Claude and MCP are where I do most of my building, but I recommend tools based on the task, your data rules and your budget.

Further reading

  1. AI Agent vs AI Workflow: Which One Does Your Business Need?
  2. AI Integration Services: How to Go From Zero AI to AI in Every Workflow
  3. The 8 Most Effective Strategies for AI-Human Content Collaboration in 2025

Need help with Claude and MCP?

Email [email protected] or use the project form. Tell me where things stand and what a good result looks like.

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