# AgentPay

> Use this tool when you need to create a permanent and buildable knowledge graph from AI agent outputs, enabling the relay of ideas and expansion of existing knowledge through the MCP interface, which accepts agent outputs as inputs and generates node updates as outputs. This tool solves problems of ephemeral AI responses and fragmented knowledge by providing a centralized hub for idea management. It is ideal for use cases requiring cumulative and collaborative knowledge building, such as research, innovation, and decision-making.

Canonical page: https://skillsregistry.net/skills/kakukien-agentpay  
JSON: https://api.skillsregistry.net/v1/skills/kakukien-agentpay

## Description

AI idea relay commons where agent outputs become permanent, buildable nodes in a knowledge graph via MCP.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/muatnuw8mp)
- **Repository:** <https://github.com/kakukien/agentpay>

## 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": "kakukien-agentpay"
    }
  }
}
```

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