Build Your Own MCP Server

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Course content

Solution: Build a Complete MCP + Plugin Ecosystem

The Complete MCP + Plugin Ecosystem

Putting it all together for production automation

You now know how to build an MCP server that connects to real systems. But the real power comes from combining MCP servers with plugins — the architecture you learned in the previous course. Let us put it all together.

How MCP Servers Enhance Plugins

Plugin	Without MCP	With MCP Server
CRM Toolkit	Generates Python scripts to call API	Claude directly searches/creates contacts
Content Toolkit	Creates posts via script execution	Claude reads existing posts, checks duplicates
Mass Mailing	Runs segmentation scripts	Claude queries customer data live
Social Media	Creates content locally	Claude checks calendar, reads analytics

The Pattern

MCP servers add real-time data access to plugin workflows. The combination is more powerful than either alone.

The Integration Architecture

Complete Plugin + MCP Structure

my-crm-plugin/
├── plugin.json              # Plugin metadata
├── .mcp.json                # MCP server config
├── skills/
│   └── manage-contacts/
│       └── SKILL.md         # References MCP tools
├── commands/
│   └── find-customer.md
├── references/
│   └── crm-fields.md
└── mcp-servers/
    └── odoo-connector/
        ├── server.py        # MCP server code
        └── pyproject.toml

SKILL.md References MCP Tools

SKILL.md Example

# CRM Contact Manager

## Available MCP Tools
You have access to these tools from the
odoo-connector MCP server:
- `search_contacts(query)` — find existing contacts
- `create_contact(name, email, phone, city)` — create
- `get_recent_orders(days, limit)` — order history

## Workflow
1. ALWAYS search for existing contacts first
2. If duplicate found, ask user before creating
3. After creating, confirm with the returned ID

Deployment Options

Local (stdio)

Server runs on your machine as a child process of Claude Code. Simple, no infrastructure needed. Perfect for personal use.

Remote (Streamable HTTP)

Server runs as a web service on a VPS, cloud function, or container. Multiple users can connect. Use for team-wide access.

Docker Container

Containerized for production deployments. Consistent environment, easy scaling, standard DevOps practices.

Remote Server Configuration

Streamable HTTP Transport

# Python: Switch to HTTP transport
from mcp.server.fastmcp import FastMCP
mcp = FastMCP("odoo-connector")

# ... register tools ...

if __name__ == "__main__":
    mcp.run(transport="streamable-http",
            host="0.0.0.0", port=8000)

.mcp.json for Remote Server

{
  "mcpServers": {
    "odoo-connector": {
      "url": "https://mcp.example.com/mcp"
    }
  }
}

Your Action Plan: From Zero to MCP in an Afternoon

Identify the System (15 min)

Pick one system you use daily — CRM, project management, inventory, email. Ask yourself: What do I repeatedly look up or enter manually?

List 3-5 Operations (15 min)

Write down the specific operations: search for X, get recent Y, create new Z. Keep it focused.

Build the Server (1-2 hours)

Set up the project, register one tool at a time, test with the MCP inspector, connect to Claude Code via .mcp.json.

Integrate with a Plugin (30 min)

Add the MCP server to an existing plugin. Update SKILL.md to reference the new tools.

Iterate (ongoing)

Use it for a week, note what is missing, add more tools. This is exactly how the VaryShop ecosystem grew — one tool at a time.

Course Recap

✓MCP servers bridge the gap between Claude's knowledge and your live data

✓Three primitives — tools (actions), resources (data), prompts (templates)

✓Building is simple — 20 lines of TypeScript or 12 lines of Python

✓Security matters — environment variables, least privilege, input validation

✓MCP + Plugins = ecosystem — the combination is more powerful than either alone

Further Resources

Official MCP Documentation

modelcontextprotocol.io — the complete specification and guides for building MCP servers.

TypeScript SDK

@modelcontextprotocol/sdk on npm — the official TypeScript SDK with examples and API reference.

Python SDK

mcp on PyPI — the official Python SDK featuring FastMCP for rapid development.

Example Servers

github.com/modelcontextprotocol/servers — a collection of reference implementations you can study and extend.

Your Next Step

Do not just read — build. Pick your system, open your terminal, and create your first MCP server today. The tools, the SDKs, and Claude itself are all ready to help you. The only thing missing is your first @mcp.tool() decorator.