AI-Powered gRPC Mock Server
Auto-Generated from Your Schema

Beeceptor spins up an AI-powered gRPC mock server with realistic test data. Upload a proto spec to generate an AI-powered gRPC endpoint.

You get:

  • AI-generated responses from your gRPC schema
  • Supports unary + all streaming patterns
  • Override behavior with Mock Rules per method
  • Inspect traffic with binary → JSON conversion
Upload a proto file
Try this gRPC specification
GRPC
syntax = "proto3";
package v1;
 
service User {
  rpc GetUser (UserRequest) returns (UserResponse);
}
 
message UserRequest {
  string id = 1;
}
 
message UserResponse {
  string id = 1;
  string username = 2;
  string email = 3;
  string country = 4;
  Address address = 5;
}
 
message Address {
  string street = 1;
  string city = 2;
  string state = 3;
  string zip = 4;
}
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Upload Your Spec

Just upload your .proto file — Beeceptor parses every service, message, field, map, and nested structure.

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Start Your Mock Server

Beeceptor fetches the service schema, builds mock rules, and auto-handles Google well-known types.

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Simulate & Iterate

Perfect for testing observability pipelines, event-driven services, or long-lived gRPC calls.

Modern gRPC services evolve fast.
Test data shouldn’t slow you down.

Drag & drop your .proto file to get started

or

file.proto

Click "Create Mock Server" button to continue.

Please select a valid file.
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Your Mock Server is Live!

http://localhost:3000

The mock server is ready with AI-generated, realistic data.
Explore API routes, monitor live traffic, and build overrides using mock rules from the dashboard page.

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The Smarter Way to Mock gRPC

Got a .proto file? You’re already ahead.

Beeceptor’s new gRPC mock server removes setup overhead, eliminates flaky manual mocks, and gives your team a predictable environment for development, QA, and load testing — without maintaining a single line of mock code.

Instant Mocks From Any gRPC Spec

Upload your .proto or .protoset definition to instantly generate a gRPC mock server. Beeceptor performs complete introspection and schema analysis on the protobuf contract, including handling of nested constructs and advanced types.

  • Parses all services, RPC methods, request and response messages, including deeply nested and recursive structures.
  • Supports direct upload or remote URLs for .proto and .protoset files; automatically fetches specifications for distributed APIs.
  • Recognizes Google well-known types, advanced message types (maps, repeated fields, oneof), and complex protobuf patterns.
  • Generates mock rules and dynamic API documentation in real time, reflecting your uploaded schema.

Intelligent Test Data Generation

Beeceptor utilizes a context-aware mock engine with over 300 distinct test data generators. You get a technically realistic responses for each service invocation. The engine fully supports maps, arrays, deeply nested types, and binary or bytes fields, applying robust defaults and safe handling for all complex scenarios.

Full Streaming Support

Beeceptor delivers comprehensive support for all major gRPC streaming patterns, including unary, server-streaming, client-streaming, and bidirectional (bidi) streaming methods. The platform allows you to precisely simulate realistic streaming workflows for highly dynamic or stateful applications.

  • Support for all four streaming types.
  • Define custom min/max message rules per streaming RPC, allowing controlled simulation of bulk data transfers.
  • Precisely emulate real-world streaming behavior, backpressure, error conditions, or interrupted connections.

Rule-Based Behavior Control

Easily calibrate your mock server using advanced, rule-driven behavior controls suitable for rigorous testing. Define granular business logic on a per-method basis, customizing responses, status codes, metadata, and latency—ideal for real-world QA and dev workflows.

  • Set static or dynamic response payloads to mimic production-like data for each RPC.
  • Inject custom response metadata, such as authentication tokens or trace headers, for end-to-end integration testing.
  • Simulate various response codes—including application or transport-level errors—triggered by specific inputs or client metadata.
  • Introduce artificial delays and timeouts to test client resilience and error handling logic.

Built-In Logging & Request Capture

Beeceptor provides transparent logging for every gRPC request and response. Each binary message is automatically deserialized into human-readable JSON for easy interception, review, and debugging. All payloads, metadata, timestamps, and mock rule matches are captured and made accessible, giving you complete insight into your gRPC traffic and test scenarios.