JSON-RPC Protocol Converter Tool
Seamlessly convert between JSON-RPC, REST, and GraphQL API formats to facilitate cross-protocol integration.
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Go to Protocol ConverterOverview
The JSON-RPC Protocol Converter is a powerful tool that bridges the gap between different API paradigms. It enables developers to translate between JSON-RPC, REST, and GraphQL formats, allowing seamless integration between systems that use different API architectures.
Whether you're migrating from one API style to another, creating compatibility layers, or simply learning about the differences between these approaches, the Protocol Converter provides a straightforward way to transform API definitions and requests.
Pro Tip: Use the Protocol Converter when integrating with legacy systems or when you need to provide multiple API interfaces for the same backend functionality.
Features
Convert from any supported protocol to any other
Map methods, resources, and queries between protocols
Convert data schemas between different protocol formats
Import OpenAPI, GraphQL schemas, or JSON-RPC method lists
See conversion results in real-time as you make changes
Save converted definitions in various formats
Conversion Types
The Protocol Converter supports the following types of conversions:
Transforms JSON-RPC methods into RESTful endpoints with appropriate HTTP methods. The converter maps JSON-RPC method names to resource paths and translates parameters into query parameters, path variables, or request bodies as appropriate.
Converts RESTful API definitions into JSON-RPC method interfaces. The converter transforms resource-based paths and HTTP methods into method names, and converts path variables, query parameters, and request bodies into JSON-RPC parameters.
Transforms JSON-RPC methods into GraphQL queries and mutations. The converter maps method names to GraphQL operation names and creates appropriate GraphQL types for input parameters and return values.
Converts GraphQL schema definitions into JSON-RPC method interfaces. The converter transforms GraphQL queries and mutations into JSON-RPC methods, with appropriate parameter and return type mappings.
Usage Guide
Basic Conversion Steps
To perform a protocol conversion:
- Select the source protocol (JSON-RPC, REST, or GraphQL)
- Enter or import the API definition for the source protocol
- Select the target protocol you want to convert to
- Configure any conversion options specific to your needs
- Click "Convert" to generate the equivalent API in the target protocol
- Review the conversion and make any necessary adjustments
- Export or copy the converted API definition
Input Format Examples
JSON-RPC Method Definition
{ "methods": [ { "name": "getUserProfile", "params": { "userId": { "type": "number", "description": "ID of the user to retrieve" } }, "returns": { "type": "object", "properties": { "id": {"type": "number"}, "username": {"type": "string"}, "email": {"type": "string"}, "createdAt": {"type": "string", "format": "date-time"} } } } ] }
OpenAPI (REST) Definition
openapi: 3.0.0 info: title: User API version: 1.0.0 paths: /users/{userId}: get: summary: Get user profile parameters: - name: userId in: path required: true schema: type: integer description: ID of the user to retrieve responses: '200': description: User profile data content: application/json: schema: type: object properties: id: type: integer username: type: string email: type: string createdAt: type: string format: date-time
Advanced Options
The Protocol Converter offers several advanced options to fine-tune your conversions.
Naming Conventions
Configure how method names are converted to endpoints or GraphQL operations. Options include camelCase, snake_case, kebab-case, and custom patterns.
Authentication Mapping
Specify how authentication mechanisms should be translated between protocols (e.g., mapping JSON-RPC auth parameters to REST headers or GraphQL context).
Error Handling
Configure how error codes and messages are translated between different protocols' error handling mechanisms.
Batch Request Handling
Define how JSON-RPC batch requests are converted to other protocols that may not have native batch support.
Conversion Examples
JSON-RPC to REST Example
JSON-RPC Input
{ "jsonrpc": "2.0", "method": "createOrder", "params": { "customerId": 42, "items": [ {"productId": 101, "quantity": 2}, {"productId": 205, "quantity": 1} ], "shippingAddress": { "street": "123 Main St", "city": "Anytown", "zipCode": "12345" } }, "id": 1 }
REST Output
POST /customers/42/orders Content-Type: application/json { "items": [ {"productId": 101, "quantity": 2}, {"productId": 205, "quantity": 1} ], "shippingAddress": { "street": "123 Main St", "city": "Anytown", "zipCode": "12345" } }
JSON-RPC to GraphQL Example
JSON-RPC Input
{ "jsonrpc": "2.0", "method": "searchProducts", "params": { "query": "laptop", "category": "electronics", "minPrice": 500, "maxPrice": 2000, "limit": 10, "offset": 0 }, "id": 1 }
GraphQL Output
query { searchProducts( searchInput: { query: "laptop" category: "electronics" priceRange: { min: 500 max: 2000 } pagination: { limit: 10 offset: 0 } } ) { id name description price category imageUrl } }
Limitations
While the Protocol Converter is a powerful tool, there are some inherent limitations when converting between different API paradigms:
Protocol Semantic Differences
Each protocol has fundamental design principles that may not have direct equivalents in other protocols. For example, GraphQL's nested queries don't have a direct equivalent in JSON-RPC or REST.
Batch Processing
JSON-RPC has native support for batch requests, while REST typically doesn't. The converter provides approximations but cannot guarantee identical behavior.
State Management
REST is designed around resource states, while JSON-RPC is more procedure-oriented. These fundamental differences may lead to imperfect translations.
Performance Considerations
Converted APIs may not be as performant as purpose-built implementations for each protocol. Consider this a starting point that may require optimization.
Note: The Protocol Converter is best used as a starting point for cross-protocol integrations or for educational purposes. For production systems with high performance requirements, we recommend reviewing and optimizing the generated outputs.