# mcp-kinetic-gain

> mcp-kinetic-gain — mizcausevic-dev-mcp-kinetic-gain. Use this tool when you need to integrate and manage multiple Kinetic Gain Protocol Suite specifications in a unified server environment, solving problems related to data provenance, agent management, and AI evidence tracking. It provides 18 tools across 5 specs, accepting git inputs and generating outputs for various use cases, including AEO, Prompt Provenance, and AI Evidence. Ideal for use in complex AI workflows requiring standardized protocol management and visualization.

Canonical page: https://skillsregistry.net/skills/mizcausevic-dev-mcp-kinetic-gain  
JSON: https://api.skillsregistry.net/v1/skills/mizcausevic-dev-mcp-kinetic-gain

## Description

Unified MCP server for all 12 Kinetic Gain Protocol Suite specs + DefenseTech (8 tools): 75 callable tools (47 spec + 16 implementation + 8 DefenseTech + 4 AI Claims Decision Card). One Claude Desktop config, stdio, no API key, no build step.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mizcausevic-dev/mcp-kinetic-gain)

## 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": "mizcausevic-dev-mcp-kinetic-gain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mizcausevic-dev-mcp-kinetic-gain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mizcausevic-dev-mcp-kinetic-gain/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