echo-mcp
Automatically convert any Echo API to a MCP Tool
MCP Wrapper for Echo Framework
Wrap any existing Echo API into MCP tools and enable AI agents to interact with your API through Model Context Protocol.
Inspired by gin-mcp but for the Echo framework.
Key Features
- Zero Configuration: Works with any existing Echo API
- Multiple Schema Sources: Support for Swaggo, raw OpenAPI YAML/JSON, and manual schemas
- Filtering: Include/exclude endpoints with wildcard patterns
- MCP Compatible: Works with any agent that supports MCP.
Installation
go get github.com/BrunoKrugel/echo-mcp
Quick Start
package main
import (
"net/http"
server "github.com/BrunoKrugel/echo-mcp"
"github.com/labstack/echo/v4"
)
func main() {
e := echo.New()
// Existing API routes
e.GET("/ping", func(c echo.Context) error {
return c.JSON(http.StatusOK, map[string]string{"message": "pong"})
})
// Add MCP support
mcp := server.New(e)
mcp.Mount("/mcp")
e.Start(":8080")
}
Now the API is accessible at http://localhost:8080/mcp
Advanced Usage
Automatic Swagger Schemas
If you already use Swaggo for Swagger documentation, enable automatic schema generation:
// @Summary Get user by ID
// @Description Retrieve detailed user information
// @Tags users
// @Param id path int true "User ID" minimum(1)
// @Success 200 {object} User
// @Router /users/{id} [get]
func GetUser(c echo.Context) error {
// Your handler code
}
func main() {
e := echo.New()
e.GET("/users/:id", GetUser)
// Enable automatic swagger schema generation
mcp := server.NewWithConfig(e, &server.Config{
BaseURL: "http://localhost:8080",
EnableSwaggerSchemas: true,
})
mcp.Mount("/mcp")
e.Start(":8080")
}
Raw OpenAPI Schema Support
If you use other OpenAPI libraries like swaggest/openapi-go, you can pass a raw YAML or JSON schema string:
import (
"github.com/swaggest/openapi-go/openapi3"
server "github.com/BrunoKrugel/echo-mcp"
)
func main() {
e := echo.New()
// ... define your routes ...
// Generate OpenAPI schema
reflector := openapi3.Reflector{}
reflector.SpecEns().WithOpenapi("3.0.3")
reflector.SpecEns().Info.WithTitle("My API").WithVersion("1.0.0")
// Add operations to reflector
// ...
// Export to YAML (or JSON)
schema, _ := reflector.Spec.MarshalYAML()
// Pass raw schema to MCP server
// ... you can also embed the schema from an exiting openapi.yaml file
mcp := server.NewWithConfig(e, &server.Config{
OpenAPISchema: string(schema),
})
mcp.Mount("/mcp")
e.Start(":8080")
}
The OpenAPISchema field accepts both YAML and JSON formatted strings. When provided, it automatically populates:
- Server name from schema title
- Description from schema description
- Version from schema version
- Tool schemas from operation definitions
Endpoint Filtering
Expose only the necessary endpoints to MCP tools:
mcp := server.New(e)
// Include only specific endpoints
mcp.RegisterEndpoints([]string{
"/api/v1/users/:id",
"/api/v1/orders",
})
// Or exclude internal endpoints
mcp.ExcludeEndpoints([]string{
"/health", // Exclude health checks
})
Manual Schema Registration (WIP)
For better control, register schemas manually:
type CreateUserRequest struct {
Name string `json:"name" jsonschema:"required,description=User full name"`
Email string `json:"email" jsonschema:"required,description=User email address"`
Age int `json:"age,omitempty" jsonschema:"minimum=0,maximum=150"`
}
type UserQuery struct {
Page int `form:"page,default=1" jsonschema:"minimum=1"`
Limit int `form:"limit,default=10" jsonschema:"maximum=100"`
Active bool `form:"active" jsonschema:"description=Filter by active status"`
}
mcp := server.New(e, &server.Config{BaseURL: "http://localhost:8080"})
// Register schemas for specific routes
mcp.RegisterSchema("POST", "/users", nil, CreateUserRequest{})
mcp.RegisterSchema("GET", "/users", UserQuery{}, nil)
Schema Generation Methods
Echo-MCP supports four schema generation approaches, with automatic fallback:
| Method | Use Case | Priority |
|---|---|---|
| Raw OpenAPI Schema | Using OpenAPI libraries like swaggest/openapi-go | First (if OpenAPISchema is set) |
| Swagger | Production APIs with Swaggo annotations | First (if EnableSwaggerSchemas is set) |
| Manual | Fine-grained control, complex validation | Second |
| Automatic | Quick prototyping, simple endpoints | Fallback |
// Option 1: Using raw OpenAPI schema (swaggest/openapi-go, etc.)
schema, _ := reflector.Spec.MarshalYAML()
mcp := server.New(e, &server.Config{
OpenAPISchema: string(schema), // Use raw schema
})
// Option 2: Using Swaggo
mcp := server.New(e, &server.Config{
EnableSwaggerSchemas: true, // Load from swaggo docs
})
// Option 3: Manual schemas for fine-grained control
mcp.RegisterSchema("POST", "/users", nil, CreateUserRequest{})
// Option 4: Automatic inference (fallback)
// No configuration needed - routes will use basic path/body inference
MCP Client Integration
Once your server is running:
Manual configuration
{
"mcpServers": {
"echo-api": {
"type": "http",
"url": "http://localhost:8080/mcp",
"timeout": 120
},
}
}
Local Testing
For local testing, use MCP Inspector:
npx @modelcontextprotocol/inspector http://localhost:8080/mcp
Acknowledgments
- Swaggo - Swagger documentation generator
- swaggest/openapi-go - OpenAPI 3.0 toolkit for Go
- Echo Framework - High performance Go web framework
- Echo Swagger - Swagger UI middleware for Echo
- Model Context Protocol - Universal protocol for AI-tool interaction
Verwandte Server
Crypto Price & Market Analysis
Provides real-time cryptocurrency price data, market analysis, and historical trends using the CoinCap API.
MCP Currency Converter Server
Provides real-time currency conversion and exchange rate data using the Frankfurter API.
Dataloop MCP
Integrate with the Dataloop AI platform for data management and annotation using a Docker-based stdio interface.
APISIX-MCP
APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API, supporting querying and managing all resources in Apache APISIX.
CloudStack MCP Server
Integrate with Apache CloudStack to manage cloud resources directly from your desktop.
tilt-mcp
Tilt MCP is a Model Context Protocol server that integrates with Tilt to provide programmatic access to Tilt resources, logs, and management operations for Kubernetes development environments
Google Security
Access Google's security products and services, including Chronicle, SOAR, Threat Intelligence (GTI), and Security Command Center (SCC).
Rootly
Manage incidents on Rootly using your own API tokens via a Cloudflare Worker.
Fleet-MCP
Enables AI assistants to interact with Fleet Device Management for device management, security monitoring, and compliance enforcement.
local-pinboard-mcp
A local-only, secure MCP server to connect your AI assistant to your Pinboard bookmarks