# JSON-RPC 2.0

> Use this tool when you need to establish a standardized communication protocol between AI systems and backend services, enabling remote procedure calls with robust error handling and type-safe interfaces. It solves problems of structured communication, parameter validation, and response formatting, supporting features like positional and named parameters, notifications, and batch requests. Ideal for use cases requiring a reliable bridge between AI assistants and remote services, it provides a concise and efficient interface for method handling and data exchange.

Canonical page: https://skillsregistry.net/skills/windymelt-json-rpc  
JSON: https://api.skillsregistry.net/v1/skills/windymelt-json-rpc

## Description

MCP-Scala is a JSON-RPC 2.0 server implementation developed by windymelt that enables AI assistants to interact with remote procedure calls through a standardized protocol. Built with Scala 3 and leveraging the Cats Effect library for functional programming, it provides a type-safe interface for method handling, parameter validation, and response formatting. The server supports various JSON-RPC features including positional and named parameters, notifications, batch requests, and comprehensive error handling. This implementation is particularly useful for developers who need a robust, type-safe bridge between AI systems and backend services where structured communication is essential.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/windymelt-json-rpc)
- **Repository:** <https://github.com/windymelt/mcp-scala>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "windymelt-json-rpc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/windymelt-json-rpc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/windymelt-json-rpc/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt