Compare
gRPC vs. Graftcode

Native performance. Far less code.

Skip the .proto files, schema definitions, and manual code generation. Just expose ordinary public methods and call them remotely with fully typed clients across languages.

/USED BY LEADING COMPANIES

3G TMS
ARC CORE
IBM
Intermodal Tank Transport
NewDoors
First Premier Bank
TotalEnergies
TRUMPF
Stratus
SIEMENS
Nuance
Walter
Tangram
Nevada
BREAS
Statistics Norway
3G TMS
ARC CORE
IBM
Intermodal Tank Transport
NewDoors
First Premier Bank
TotalEnergies
TRUMPF
Stratus
SIEMENS
Nuance
Walter
Tangram
Nevada
BREAS
Statistics Norway
3G TMS
ARC CORE
IBM
Intermodal Tank Transport
NewDoors
First Premier Bank
TotalEnergies
TRUMPF
Stratus
SIEMENS
Nuance
Walter
Tangram
Nevada
BREAS
Statistics Norway

/AT GLANCE

gRPC vs Graftcode

Both offer strongly typed, high-performance remote calls. Graftcode eliminates the contracts, code generation, and integration layers required by traditional gRPC.

gRPC
  • Define and maintain .proto contracts for your services
  • Regenerate client and server code when contracts change
  • Implement services using generated interfaces and message types
  • Handle errors through gRPC status codes and metadata
  • Communication is tied to the gRPC protocol and remote transport model
  • Expose ordinary public methods without annotations or IDL files
  • Strongly typed clients (called Grafts) refresh automatically through package managers
  • Install clients like any npm, NuGet, or pip package
  • Propagate typed exceptions without manual status-code mapping
  • Switch between in-process, TCP, WebSocket, HTTP/2, or message brokers through configuration

/WHY SWITCH

Three reasons teams move from gRPC

gRPC gives you fast, strongly typed calls. Graftcode goes further by eliminating manual contracts, code generation, and transport-specific integration code.

getUser call skipping .proto files on the way to Graftcode

No .proto, no stubs

Graftcode generates strongly typed clients directly from your public method signatures. No .proto files, manual codegen, or shared contracts to distribute and keep in sync. Just install a Graft through your package manager and refresh it when your API changes.

In-process and remote topology switched in configuration

Topology is configuration

Switch between in-process, TCP, WebSocket, HTTP/2, or message brokers like Kafka and RabbitMQ through configuration. Your public methods and business logic stay unchanged, without transport-specific integration code.

Public methods exposed as MCP tools

AI-ready out of the box

Graftcode automatically exposes your public methods as MCP tools, making them accessible to AI clients like Claude, Cursor, and ChatGPT. No custom MCP wrappers or duplicated API implementations required.

/SHOW, DON'T TELL

Same call. 4 steps vs 2.

gRPC requires a .proto contract, generated stubs, and service implementation. Graftcode only needs a public method and an installable, strongly typed client.

gRPC
  1. write the .proto
    syntax = "proto3";
    
    option csharp_namespace = "Acme.Users.V1";
    
    service UserService {
      rpc GetUser (GetUserRequest) returns (User);
    }
    
    message GetUserRequest {
      int32 id = 1;
    }
    
    message User {
      int32 id = 1;
      string name = 2;
    }
  2. regenerate stubs
    $ protoc --csharp_out=. --grpc_out=. \
      --plugin=protoc-gen-grpc=grpc_csharp_plugin \
      user.proto
  3. implement + map DTOs
    using Acme.Users.V1;
    using Grpc.Core;
    
    public sealed class UserServiceImpl : UserService.UserServiceBase
    {
        public override Task<User> GetUser(
            GetUserRequest request,
            ServerCallContext context)
        {
            var entity = db.Users.Find(request.Id);
    
            return Task.FromResult(new User
            {
                Id = entity.Id,
                Name = entity.Name,
            });
        }
    }
  4. dial, build stub, call
    using Acme.Users.V1;
    using Grpc.Net.Client;
    
    using var channel = GrpcChannel.ForAddress("https://localhost:5001");
    var client = new UserService.UserServiceClient(channel);
    
    User user = client.GetUser(new GetUserRequest { Id = 42 });
GRAFTCODE
  1. expose a class
    public class UserService
    {
        public User GetUser(int id)
        {
            return db.Users.Find(id);
        }
    }
  2. Install the Graft & call
    using Acme.UserService;
    
    var users = new UserService();
    
    var user = users.GetUser(42);

Same strong typing. Far less code.Less code for you and your AI to write, read, maintain, and review. No .proto files, generated stubs, or integration layers.

/FEATURE MATRIX

The honest, line-by-line comparison

CapabilityGRPC
PROGRAMMING MODEL
Call with Strongly Typed Methods without IDL
[×] NO
Regular Exception support
[×] NO
Complex DTOs & arrays passed by value in one call
[✓] YES
PROGRAMMING DEPENDENCIES & CONTRACTS
No additional SDK
[×] NO
No contract files
[×] NO
Use remote modules as dependencies
[-] PARTIAL
TOPOLOGY & TRANSPORT
Switch between WebSocket, HTTP/2, TCP, queues, events, or PaaS channels with a single env var.
[×] NO
Switch remote <-> in-memory with config only
[×] NO
TOPOLOGY & TRANSPORT
Same programming model for queues / event buses
[×] NO
Full streaming
[✓] YES
Expose methods are immediately callable via MCP
[×] NO
GRPC compared with Graftcode
CapabilityGRPCGraftcode
PROGRAMMING MODEL
Call with Strongly Typed Methods without IDL[×] NO[✓] YES
Regular Exception support[×] NO[✓] YES
Complex DTOs & arrays passed by value in one call[✓] YES[✓] YES
PROGRAMMING DEPENDENCIES & CONTRACTS
No additional SDK[×] NO[✓] YES
No contract files[×] NO[✓] YES
Use remote modules as dependencies[-] PARTIAL[✓] YES
TOPOLOGY & TRANSPORT
Switch between WebSocket, HTTP/2, TCP, queues, events, or PaaS channels with a single env var.[×] NO[✓] YES
Switch remote <-> in-memory with config only[×] NO[✓] YES
TOPOLOGY & TRANSPORT
Same programming model for queues / event buses[×] NO[✓] Via plugins
Full streaming[✓] YES[-] PARTIAL
Expose methods are immediately callable via MCP[×] NO[✓] YES

/BY THE NUMBERS

The payoff, in numbers

60%

less code for AI to touch

1/8

of CPU usage comparing to REST or gRPC

20

coding languages supported

10

package managers supported

/FAQS

Before you ask

  • No. Graftcode matches gRPC's call latency over HTTP/2 while using up to 8x less CPU and 50% less memory. Over HTTP/1.1 and raw TCP, Graftcode delivers even faster calls. Hypertube™ combines high performance with significantly lower resource consumption, without .proto files or manual code generation.

/COMMUNITY

Join grafters community

Many developers are loving Graftcode and what it brings to them.

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“Graftcode appears to be an exceptionally useful platform. Its key value proposition is allowing developers to concentrate on core business requirements instead of tedious service integration tasks. I believe the concept of beginning with a monolithic structure and then having the option to dynamically transition to a microservice architecture will prove to be extremely valuable.”

Maciej_e$

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Keep the speed.Drop the spaghetti code.

Expose one class, install the Graft, and make your first typed cross-service call inabout 10 minutes.