# Trinity

> Use this tool when you need to integrate AI assistants with the Trinity API to access formula-based tools. Trinity-MCP provides a standardized JSON-RPC interface for AI platforms to leverage Trinity's capabilities, solving problems of compatibility and communication. It accepts JSON-RPC requests as input and returns results through standard I/O, making it a suitable bridge for AI agents requiring Trinity's tools.

Canonical page: https://skillsregistry.net/skills/kklab-trinity  
JSON: https://api.skillsregistry.net/v1/skills/kklab-trinity

## Description

Trinity-MCP is a Go-based server implementation that provides a bridge between AI assistants and the Trinity API. Built using the mark3labs/mcp-go library, it enables AI assistants to access Trinity's formula-based tools through a standardized JSON-RPC interface. The server mounts Trinity tools to an MCP server, supports configuration options for app ID and host customization, and handles communication through standard I/O, making it suitable for integration with AI platforms that need to leverage Trinity's capabilities.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kklab-trinity)
- **Repository:** <https://github.com/kklab-com/trinity-mcp>

## 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": "kklab-trinity"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kklab-trinity` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kklab-trinity/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