/internal/website/blog/2.md

---
layout: blog
title: Making Microservices AI-Native with MCP
permalink: /blog/2
description: Expose go-micro services as AI tools with 3 lines of code using the Model Context Protocol
---

# Making Microservices AI-Native with MCP

<img src="/images/generated/blog-mcp.jpg" alt="Making Microservices AI-Native with MCP" style="width: 100%; border-radius: 8px; margin: 1rem 0 1.5rem;" />

*February 11, 2026 • By the Go Micro Team*

We're excited to announce **MCP (Model Context Protocol) support** in Go Micro v5.15.0 — making your microservices instantly accessible to AI tools like Claude.

## The Vision

Imagine telling Claude: *"Why is user 123's order stuck?"*

Claude responds by:
1. Calling your `users` service to check the account
2. Calling your `orders` service to inspect the order
3. Calling your `payments` service to verify the transaction
4. Giving you a complete diagnosis

**No API wrappers. No manual integrations. Your services just work with AI.**

## What is MCP?

[Model Context Protocol](https://modelcontextprotocol.io) is Anthropic's open standard for connecting AI models to external tools. Think of it like a microservices registry, but for AI.

With MCP, your go-micro services become **tools** that Claude can discover and call directly.

## The Integration

### For Library Users (Just Add Comments!)

```go
package main

import (
    "context"
    "go-micro.dev/v5"
    "go-micro.dev/v5/gateway/mcp"
)

type UserService struct{}

// GetUser retrieves a user by ID. Returns user profile with email and preferences.
//
// @example {"id": "user-123"}
func (s *UserService) GetUser(ctx context.Context, req *GetUserRequest, rsp *GetUserResponse) error {
    // implementation
    return nil
}

type GetUserRequest struct {
    ID string `json:"id" description:"User's unique identifier"`
}

type GetUserResponse struct {
    User *User `json:"user" description:"The user object"`
}

func main() {
    service := micro.NewService(micro.Name("users"))
    service.Init()

    // Register handler - docs extracted automatically from comments!
    service.Server().Handle(service.Server().NewHandler(new(UserService)))

    // Add MCP gateway
    go mcp.Serve(mcp.Options{
        Registry: service.Options().Registry,
        Address:  ":3000",
    })

    service.Run()
}
```

That's it. Your service is now AI-accessible **with automatic documentation**.

### For CLI Users (Just a Flag)

```bash
# Development with MCP
micro run --mcp-address :3000

# Production with MCP
micro server --mcp-address :3000
```

The CLI integration uses the same underlying library, so you get the same functionality either way.

## How It Works

1. **Service Discovery**: MCP gateway queries your registry (mdns/consul/etcd)
2. **Auto-Exposure**: Each service endpoint becomes an MCP tool
3. **Schema Conversion**: Request/response types → JSON Schema for AI
4. **Dynamic Updates**: New services appear as tools automatically

For example, if you have:

```go
type UsersService struct{}

func (u *UsersService) Get(ctx context.Context, req *GetRequest, rsp *GetResponse) error {
    // ...
}

func (u *UsersService) Create(ctx context.Context, req *CreateRequest, rsp *CreateResponse) error {
    // ...
}
```

Claude sees:

```
Tools:
- users.UsersService.Get
- users.UsersService.Create
```

And can call them with natural language: *"Get user 123's details"*

## Real-World Use Cases

### 1. AI-Powered Customer Support

```bash
# Claude can help support agents
User: "Why is my order taking so long?"

Claude: Let me check...
→ Calls orders.Orders.Get with user's order ID
→ Calls shipping.Shipping.Track with tracking number
→ Calls inventory.Inventory.Check with product ID

Claude: "Your order is waiting for inventory. The product
is expected to be restocked on Feb 15. Would you like to
switch to an in-stock alternative?"
```

### 2. Debugging Production Issues

```bash
# Tell Claude the symptoms, it investigates
You: "Users can't log in. Check if it's the auth service."

Claude:
→ Calls health.Check on auth service
→ Calls metrics.Get for error rates
→ Calls logs.Recent for auth failures
→ Calls database.ConnectionPool for connection issues

Claude: "The auth service is healthy but the connection
pool is exhausted. Current: 100/100. Recommend increasing
pool size or checking for connection leaks."
```

### 3. Automated Operations

```bash
# Claude as an operations assistant
You: "Scale up the worker service"

Claude:
→ Calls infrastructure.Services.List to find workers
→ Calls infrastructure.Services.Scale with new count
→ Calls metrics.Monitor to watch the scale-up

Claude: "Scaled from 3 to 5 workers. All healthy and
processing jobs normally."
```

### 4. AI Data Analysis

```bash
# Claude can query your services for insights
You: "Show me revenue trends for the last quarter"

Claude:
→ Calls analytics.Revenue.GetTrends with date range
→ Calls analytics.Revenue.Compare with previous quarter
→ Calls analytics.Revenue.TopProducts

Claude: "Revenue is up 23% vs Q4. Top driver is product X
with 45% growth. However, churn increased 5% — recommend
investigating retention."
```

## Deployment Patterns

### Pattern 1: Embedded Gateway

Add MCP directly to your services:

```go
func main() {
    service := micro.NewService(...)

    go mcp.Serve(mcp.Options{
        Registry: service.Options().Registry,
        Address:  ":3000",
    })

    service.Run()
}
```

**Best for**: Simple deployments, quick prototypes

### Pattern 2: Standalone Gateway

Deploy a dedicated MCP gateway service:

```go
// cmd/mcp-gateway/main.go
package main

import (
    "go-micro.dev/v5/gateway/mcp"
    "go-micro.dev/v5/registry/consul"
)

func main() {
    mcp.ListenAndServe(":3000", mcp.Options{
        Registry: consul.NewRegistry(),
    })
}
```

**Best for**: Production, multiple services, centralized auth

### Pattern 3: Docker Compose

```yaml
version: '3.8'

services:
  users:
    build: ./users
    environment:
      - MICRO_REGISTRY=mdns

  orders:
    build: ./orders
    environment:
      - MICRO_REGISTRY=mdns

  mcp-gateway:
    build: ./mcp-gateway
    ports:
      - "3000:3000"
    environment:
      - MICRO_REGISTRY=mdns
```

**Best for**: Local development, testing

### Pattern 4: Kubernetes

```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: mcp-gateway
spec:
  replicas: 2
  template:
    spec:
      containers:
      - name: mcp-gateway
        image: myregistry/mcp-gateway:latest
        ports:
        - containerPort: 3000
        env:
        - name: MICRO_REGISTRY
          value: "consul"
        - name: MICRO_REGISTRY_ADDRESS
          value: "consul:8500"
```

**Best for**: Production at scale

## Security Considerations

### Add Authentication

```go
mcp.Serve(mcp.Options{
    Registry: registry.DefaultRegistry,
    Address:  ":3000",
    AuthFunc: func(r *http.Request) error {
        token := r.Header.Get("Authorization")
        if !validateToken(token) {
            return errors.New("unauthorized")
        }
        return nil
    },
})
```

### Network Isolation

Deploy MCP gateway in a private network:

```
              Internet
                 │
          ┌──────▼────────┐
          │  micro server │  :8080 (public)
          │   + Auth      │
          └──────┬────────┘
                 │
          ┌──────▼────────┐
          │  MCP Gateway  │  :3000 (private)
          └──────┬────────┘
                 │
      ┌──────────┼──────────┐
      │          │          │
  ┌───▼───┐  ┌──▼────┐  ┌──▼────┐
  │ users │  │ orders│  │payments│
  └───────┘  └───────┘  └────────┘
  (private)  (private)  (private)
```

Only the HTTP gateway is public. MCP gateway and services are internal.

## Library vs CLI

Both approaches use the **same underlying library** (`go-micro.dev/v5/gateway/mcp`):

| Approach | Users | Benefits |
|----------|-------|----------|
| **Library** | Import `gateway/mcp` package | Full control, works anywhere (Docker/K8s) |
| **CLI** | Use `--mcp-address` flag | Zero code changes, instant MCP support |

The CLI is just a convenient wrapper around the library.

## Getting Started

### Install

```bash
go get go-micro.dev/v5@v5.16.0
```

### Library Usage

```go
import "go-micro.dev/v5/gateway/mcp"

go mcp.Serve(mcp.Options{
    Registry: service.Options().Registry,
    Address:  ":3000",
})
```

### CLI Usage

```bash
micro run --mcp-address :3000
# or
micro server --mcp-address :3000
```

### Test It

```bash
# List available tools
curl http://localhost:3000/mcp/tools

# Call a tool
curl -X POST http://localhost:3000/mcp/call \
  -d '{"tool": "users.Users.Get", "input": {"id": "123"}}'
```

## New in v5.16.0: Stdio Transport & Auto-Documentation

We've added two major features that make MCP even more powerful:

### 1. Stdio Transport for Claude Code

Use go-micro services directly in Claude Code with stdio transport:

```bash
# Start MCP server with stdio (no HTTP needed)
micro mcp serve
```

Add to Claude Code config (`~/.claude/claude_desktop_config.json`):

```json
{
  "mcpServers": {
    "my-services": {
      "command": "micro",
      "args": ["mcp", "serve"]
    }
  }
}
```

Now Claude Code can discover and call your services directly!

### 2. Automatic Documentation Extraction

Services now **automatically extract documentation** from Go comments:

```go
// GetUser retrieves a user by ID from the database.
//
// @example {"id": "user-123"}
func (s *UserService) GetUser(ctx context.Context, req *GetUserRequest, rsp *GetUserResponse) error {
    // implementation
}

// Register handler - docs extracted automatically!
handler := service.Server().NewHandler(new(UserService))
```

**No manual configuration needed!** Claude understands your service from your code comments.

### 3. MCP Command Line Tools

The new `micro mcp` command provides utilities for working with MCP:

```bash
# Start MCP server (stdio by default)
micro mcp serve

# Start with HTTP
micro mcp serve --address :3000

# List available tools
micro mcp list

# Test a tool
micro mcp test users.Users.Get
```

## What's Next?

We're continuing to evolve MCP support:

- **Streaming responses** for long-running operations
- **Rate limiting** and usage tracking
- **MCP server discovery** (browse available gateways)
- **Enhanced schema generation** from struct tags

## Philosophy

Go Micro has always been about **composable microservices**. MCP extends that philosophy:

- **Your services, your way**: MCP doesn't change how you build services
- **Library-first**: Works for all users, not just CLI users
- **Zero vendor lock-in**: Open protocol, works with any MCP client
- **Production-ready**: Security, auth, and scaling built-in

AI is becoming infrastructure. Your services should be ready.

## Try It Today

```bash
# Update to v5.16.0
go get go-micro.dev/v5@v5.16.0

# Add MCP to your service
import "go-micro.dev/v5/gateway/mcp"
go mcp.Serve(mcp.Options{
    Registry: service.Options().Registry,
    Address:  ":3000",
})

# Or use the CLI
micro run --mcp-address :3000
```

See the [MCP Gateway documentation](/docs/mcp) for full details.

---

*Go Micro is an open source framework for distributed systems development in Go. [Star us on GitHub](https://github.com/micro/go-micro).*

<div class="post-nav">
  <div><a href="/blog/1">← Introducing micro deploy</a></div>
  <div><a href="/blog/">All Posts</a></div>
  <div><a href="/blog/3">Building the AI-Native Future →</a></div>
</div>