* docs: update all four documentation guides and mark Q2 complete - ai-native-services: add WithMCP one-liner, standalone gateway, WebSocket client example, and OpenTelemetry observability section - mcp-security: add OTel distributed tracing, WebSocket authentication (connection-level and per-message), DeniedReason audit field - tool-descriptions: add manual overrides with WithEndpointDocs and export formats section - agent-patterns: add LangChain/LlamaIndex SDK pattern and standalone gateway production pattern with Docker example - Update roadmap: mark Q2 documentation as complete, Q2 at 100% - Update status: reflect all recent completions, shift priorities https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: add agent demo example and blog post Add examples/agent-demo with a multi-service project management app (projects, tasks, team) that demonstrates AI agents interacting with Go Micro services through MCP. Includes seed data and example prompts. Add blog post 4 "Agents Meet Microservices: A Hands-On Demo" walking through the example code and showing cross-service agent workflows. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: enable multiple services in a single binary Remove global state mutations from service and cmd option functions so that configuring one service no longer overwrites another's settings. Key changes: - service/options.go: remove all DefaultXxx global writes from option functions; newOptions() now creates fresh Server, Client, Store, and Cache per service while sharing Registry, Broker, and Transport - cmd/cmd.go: newCmd() uses local copies instead of pointers to package globals; Before() no longer mutates DefaultXxx vars - cmd/options.go: remove global mutations from all option functions - service/service.go: export ServiceImpl type for cross-package use - service/group.go: new Group type for multi-service lifecycle - micro.go: add Start/Stop to Service interface, expose Group and NewGroup convenience function - examples/multi-service: working example with two services https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * docs: highlight multi-service binary support Add multi-service section to README with code example, update features list, add to examples index, and note in status summary. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: unify service API and clean up developer experience - Unified service creation: micro.New("name", opts...) as canonical API - Clean handler registration: service.Handle(handler, opts...) accepts server.HandlerOption args directly, no need to reach through Server() - Unexported serviceImpl: users interact through Service interface only - Service groups use Service interface (not concrete type) - Fixed Stop() to properly propagate BeforeStop/AfterStop errors - Fixed store init: error-level log instead of fatal on init failure - Updated all examples to use consistent patterns - Updated README, getting-started, MCP docs, and guides - Added blog post about the DX cleanup https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * fix: add blog post 5 to blog index Blog post 5 (Developer Experience Cleanup) existed as a file but was missing from the blog index page. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: make micro new generate MCP-enabled services by default - main.go template includes mcp.WithMCP(":3001") by default - Handler template has agent-friendly doc comments with @example tags - Proto template has descriptive field comments - README includes MCP usage, Claude Code config, and tool description tips - Makefile adds mcp-tools, mcp-test, mcp-serve targets - go.mod updated to Go 1.22 - Added --no-mcp flag to opt out of MCP integration - Post-create output shows MCP endpoint URLs https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * docs: add MCP migration guide and troubleshooting guide - Migration guide: 3 approaches to add MCP to existing services (WithMCP one-liner, standalone gateway, CLI) - Troubleshooting guide: common issues with agents, WebSocket, Claude Code, auth, rate limiting, and performance https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * refactor: rename model/ package to ai/ for AI model providers The model/ package name conflicted with the conventional use of "model" for data models. Renamed to ai/ which better describes the package's purpose (AI provider abstraction for Anthropic, OpenAI, etc.) and frees up model/ for future data model layer use. - Rename model/ → ai/ with package name change - Update all Go imports from go-micro.dev/v5/model to go-micro.dev/v5/ai - Update cmd/micro/server/server.go references (model.X → ai.X) - Update all documentation and roadmap references - All tests pass, CLI builds successfully https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: add model package for typed data access with CRUD and queries New model/ package provides a typed data model layer using Go generics. Supports structured CRUD operations, WHERE filters, ordering, pagination, and automatic schema creation from struct tags. Three backends: - memory: in-memory for development and testing - sqlite: embedded SQL for dev and single-node production - postgres: full PostgreSQL for production deployments Key features: - Generic Model[T] with Create/Read/Update/Delete/List/Count - Query builder: Where(), WhereOp(), OrderAsc/Desc(), Limit(), Offset() - Struct tags: model:"key" for primary key, model:"index" for indexes - Auto table creation from struct schema - 19 tests passing across memory and sqlite backends https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: add model code generation to protoc-gen-micro Extend the micro plugin to generate model structs from proto messages annotated with // @model. Generated alongside client/server code in the same .pb.micro.go file. For a proto message like: // @model message User { string id = 1; string name = 2; } Generates: - UserModel struct with model:"key" and json tags - NewUserModel(db) factory returning *model.Model[UserModel] - UserModelFromProto(*User) *UserModel converter - (*UserModel).ToProto() *User converter Supports @model(table=custom_table, key=custom_field) options. Adds GetComments() to generator for plugin comment inspection. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc * feat: add Model() to Service interface for Client/Server/Model trifecta Every service now exposes Client(), Server(), and Model() — call services, handle requests, and save/query data from the same interface. Includes README docs, blog post, and a full model guide on the docs site. https://claude.ai/code/session_01GkduEhcrqcG45rdfYh8dAc --------- Co-authored-by: Claude <noreply@anthropic.com>
Micro
Go Micro Command Line
Install the CLI
Install micro via go install
go install go-micro.dev/v5/cmd/micro@v5.16.0
Create a service
Create your service (all setup is now automatic!):
micro new helloworld
This will:
- Create a new service in the
helloworlddirectory - Automatically run
go mod tidyandmake protofor you - Show the updated project tree including generated files
- Warn you if
protocis not installed, with install instructions
Run the service
Run your service:
micro run
This starts:
- API Gateway on http://localhost:8080
- Web Dashboard at http://localhost:8080
- Agent Playground at http://localhost:8080/agent
- API Explorer at http://localhost:8080/api
- MCP Tools at http://localhost:8080/api/mcp/tools
- Hot Reload watching for file changes
- Services in dependency order
Open http://localhost:8080 to see your services and call them from the browser.
Output
┌─────────────────────────────────────────────────────────────┐
│ │
│ Micro │
│ │
│ Web: http://localhost:8080 │
│ API: http://localhost:8080/api/{service}/{method} │
│ Health: http://localhost:8080/health │
│ │
│ Services: │
│ ● helloworld │
│ │
│ Watching for changes... │
│ │
└─────────────────────────────────────────────────────────────┘
Options
micro run # Gateway on :8080, hot reload enabled
micro run --address :3000 # Gateway on custom port
micro run --no-gateway # Services only, no HTTP gateway
micro run --no-watch # Disable hot reload
micro run --env production # Use production environment
micro run github.com/micro/blog # Clone and run from GitHub
Calling Services
Via curl:
curl -X POST http://localhost:8080/api/helloworld/Helloworld.Call -d '{"name": "World"}'
Or browse to http://localhost:8080 and use the web interface.
List services:
micro services
Configuration (micro.mu)
For multi-service projects, create a micro.mu file to define services, dependencies, and environments:
service users
path ./users
port 8081
service posts
path ./posts
port 8082
depends users
service web
path ./web
port 8089
depends users posts
env development
STORE_ADDRESS file://./data
DEBUG true
env production
STORE_ADDRESS postgres://localhost/db
Configuration Options
| Property | Description |
|---|---|
path |
Directory containing the service (with main.go) |
port |
Port the service listens on (for health checks) |
depends |
Services that must start first (space-separated) |
Environment Management
Environment variables are injected based on the --env flag:
micro run # Uses 'development' env (default)
micro run --env production # Uses 'production' env
MICRO_ENV=staging micro run # Uses 'staging' env
JSON Alternative
You can also use micro.json if you prefer:
{
"services": {
"users": { "path": "./users", "port": 8081 },
"posts": { "path": "./posts", "port": 8082, "depends": ["users"] }
},
"env": {
"development": { "STORE_ADDRESS": "file://./data" }
}
}
Without Configuration
If no micro.mu or micro.json exists, micro run discovers all main.go files and runs them (original behavior).
Describe the service
Describe the service to see available endpoints
micro describe helloworld
Output
{
"name": "helloworld",
"version": "latest",
"metadata": null,
"endpoints": [
{
"request": {
"name": "Request",
"type": "Request",
"values": [
{
"name": "name",
"type": "string",
"values": null
}
]
},
"response": {
"name": "Response",
"type": "Response",
"values": [
{
"name": "msg",
"type": "string",
"values": null
}
]
},
"metadata": {},
"name": "Helloworld.Call"
},
{
"request": {
"name": "Context",
"type": "Context",
"values": null
},
"response": {
"name": "Stream",
"type": "Stream",
"values": null
},
"metadata": {
"stream": "true"
},
"name": "Helloworld.Stream"
}
],
"nodes": [
{
"metadata": {
"broker": "http",
"protocol": "mucp",
"registry": "mdns",
"server": "mucp",
"transport": "http"
},
"id": "helloworld-31e55be7-ac83-4810-89c8-a6192fb3ae83",
"address": "127.0.0.1:39963"
}
]
}
Call the service
Call via RPC endpoint
micro call helloworld Helloworld.Call '{"name": "Asim"}'
Create a client
Create a client to call the service
package main
import (
"context"
"fmt"
"go-micro.dev/v5"
)
type Request struct {
Name string
}
type Response struct {
Message string
}
func main() {
client := micro.New("helloworld").Client()
req := client.NewRequest("helloworld", "Helloworld.Call", &Request{Name: "John"})
var rsp Response
err := client.Call(context.TODO(), req, &rsp)
if err != nil {
fmt.Println(err)
return
}
fmt.Println(rsp.Message)
}
Building and Deployment
Build Binaries
Build Go binaries for deployment:
micro build # Build for current OS
micro build --os linux # Cross-compile for Linux
micro build --os linux --arch arm64 # For ARM64
micro build --output ./dist # Custom output directory
Deploy to Server
Deploy to any Linux server with systemd:
# First time: set up the server
ssh user@server
curl -fsSL https://go-micro.dev/install.sh | sh
sudo micro init --server
exit
# Deploy from your laptop
micro deploy user@server
The deploy command:
- Builds binaries for linux/amd64
- Copies via SSH to
/opt/micro/bin/ - Sets up systemd services (
micro@<service>) - Restarts and verifies services are running
Named Deploy Targets
Add deploy targets to micro.mu:
deploy prod
ssh deploy@prod.example.com
deploy staging
ssh deploy@staging.example.com
Then:
micro deploy prod # Deploy to production
micro deploy staging # Deploy to staging
Managing Deployed Services
# Check status
micro status --remote user@server
# View logs
micro logs --remote user@server
micro logs myservice --remote user@server -f
# Stop a service
micro stop myservice --remote user@server
See internal/website/docs/deployment.md for the full deployment guide.
Protobuf
Use protobuf for code generation with protoc-gen-micro
Server
The micro server is a production web dashboard and authenticated API gateway for interacting with services that are already running (e.g., managed by systemd via micro deploy). It does not build, run, or watch services — for local development, use micro run instead.
Run it like so
micro server
Then browse to localhost:8080 and log in with the default admin account (admin/micro).
API Endpoints
The API provides a fixed HTTP entrypoint for calling services
curl http://localhost:8080/api/helloworld/Helloworld/Call -d '{"name": "John"}'
See /api for more details and documentation for each service
Web Dashboard
The web dashboard provides a modern, secure UI for managing and exploring your Micro services. Major features include:
- Dynamic Service & Endpoint Forms: Browse all registered services and endpoints. For each endpoint, a dynamic form is generated for easy testing and exploration.
- API Documentation: The
/apipage lists all available services and endpoints, with request/response schemas and a sidebar for quick navigation. A documentation banner explains authentication requirements. - JWT Authentication: All login and token management uses a custom JWT utility. Passwords are securely stored with bcrypt. All
/api/xendpoints and authenticated pages require anAuthorization: Bearer <token>header (ormicro_tokencookie as fallback). - Token Management: The
/auth/tokenspage allows you to generate, view (obfuscated), and copy JWT tokens. Tokens are stored and can be revoked. When a user is deleted, all their tokens are revoked immediately. - User Management: The
/auth/userspage allows you to create, list, and delete users. Passwords are never shown or stored in plaintext. - Token Revocation: JWT tokens are stored and checked for revocation on every request. Revoked or deleted tokens are immediately invalidated.
- Security: All protected endpoints use consistent authentication logic. Unauthorized or revoked tokens receive a 401 error. All sensitive actions require authentication.
- Logs & Status: View service logs and status (PID, uptime, etc) directly from the dashboard.
To get started, run:
micro server
Then browse to localhost:8080 and log in with the default admin account (admin/micro).
Note: See the
/apipage for details on API authentication and how to generate tokens for use with the HTTP API
Gateway Architecture
The micro run and micro server commands both use a unified gateway implementation (cmd/micro/server/gateway.go), providing consistent HTTP-to-RPC translation, service discovery, and web UI capabilities.
Key Differences
| Feature | micro run |
micro server |
|---|---|---|
| Purpose | Development | Production |
| Authentication | Enabled (default admin/micro) |
Enabled (default admin/micro) |
| Process Management | Yes (builds/runs services) | No (assumes services running) |
| Hot Reload | Yes (watches files) | No |
| Scopes | Available (/auth/scopes) |
Available (/auth/scopes) |
| Use Case | Local development | Deployed API gateway |
Why Unified?
Previously, each command had its own gateway implementation, leading to code duplication. The unified gateway means:
- New features (like MCP integration) benefit both commands
- Consistent behavior between development and production
- Single codebase to test and maintain
- Same HTTP API, web UI, and service discovery logic
Gateway Features
Both commands provide:
- HTTP API:
POST /api/{service}/{endpoint}with JSON request/response - Service Discovery: Automatic detection via registry (mdns/consul/etcd)
- Health Checks:
/health,/health/live,/health/readyendpoints - Web Dashboard: Browse services, test endpoints, view documentation
- Hot Service Updates: Gateway automatically picks up new service registrations
- JWT Authentication: Tokens, user management, login at
/auth/login,/auth/tokens,/auth/users - Endpoint Scopes: Restrict which tokens can call which endpoints via
/auth/scopes - MCP Integration: AI tools at
/api/mcp/tools, agent playground at/agent
Authentication & Scopes
Both micro run and micro server use the same auth.Account type from the go-micro framework. The gateway stores accounts under auth/<id> in the default store and uses JWT tokens with RSA256 signing.
Scope enforcement applies to all call paths:
| Path | Description |
|---|---|
POST /api/{service}/{endpoint} |
HTTP API calls |
POST /api/mcp/call |
MCP tool invocations |
| Agent playground | Tool calls made by the AI agent |
Scopes are configured via the web UI at /auth/scopes. Each endpoint can require one or more scopes. A token must carry at least one matching scope to call a protected endpoint. The * scope on a token bypasses all checks. Endpoints with no scopes set are open to any authenticated token.
See the Scopes section below for details.
Development Mode (micro run)
micro run # Auth enabled, default admin/micro
- Authentication enabled with default credentials (
admin/micro) - Web UI requires login
- Scopes available for testing access control
- Ideal for development with realistic auth behavior
Production Mode (micro server)
micro server # Auth enabled, JWT tokens required
- JWT authentication on all API calls
- User/token management via web UI
- Secure by default
- Login required: default credentials
admin/micro
Programmatic Gateway Usage
You can also start the gateway programmatically in your own Go code:
import "go-micro.dev/v5/cmd/micro/server"
// Start gateway with auth (recommended)
gw, err := server.StartGateway(server.GatewayOptions{
Address: ":8080",
AuthEnabled: true,
})
// Start gateway without auth (testing only)
gw, err := server.StartGateway(server.GatewayOptions{
Address: ":8080",
AuthEnabled: false,
})
See internal/website/docs/architecture/adr-010-unified-gateway.md for architecture details.
Scopes
Scopes provide fine-grained access control over which tokens can call which service endpoints. They are managed through the web UI at /auth/scopes and enforced on every call through the gateway.
How It Works
- Define scopes on endpoints — Visit
/auth/scopesand set required scopes for each service endpoint (e.g., setbillingonpayments.Payments.Charge) - Create tokens with scopes — Visit
/auth/tokensand create tokens with matching scopes (e.g., a token withbillingscope) - Scopes are enforced — When a token calls an endpoint, the gateway checks that the token has at least one scope matching the endpoint's required scopes
Scope Matching Rules
- Scopes are exact string matches —
billingon a token matchesbillingon an endpoint - A token with
*scope bypasses all scope checks (admin wildcard) - Endpoints with no scopes set are open to any valid token
- An endpoint can require multiple scopes — the token needs to match just one
- Scope names are free-form strings — use whatever convention fits your project
Common Patterns
| Pattern | Endpoint Scopes | Token Scopes | Result |
|---|---|---|---|
| Protect a service | Set greeter on all greeter endpoints (use Bulk Set with greeter.*) |
Token with greeter |
Token can call any greeter endpoint |
| Restrict an endpoint | Set billing on payments.Payments.Charge |
Token with billing |
Only that endpoint is restricted |
| Role-based | Set admin on sensitive endpoints |
Admin token with admin, user token with user |
Only admin tokens can call sensitive endpoints |
| Full access | Any | Token with * |
Bypasses all scope checks |
Relationship to Framework Auth
The gateway's scope system uses auth.Account from the go-micro framework. Scopes on accounts are the same []string field used by the framework's auth.Rules and wrapper/auth package. The gateway stores scope requirements in the default store under endpoint-scopes/<service>.<endpoint> keys and checks them on every HTTP request.
For service-level (RPC) auth within the go-micro mesh, use the wrapper/auth package which provides auth.Rules with priority-based access control. See the auth wrapper documentation for details.