# Payment Orchestrator MCP Server

> Payment Orchestrator MCP Server — vryahn-payment-orchestrator. Use this tool when you need to analyze and understand payment routing decisions, or to troubleshoot and optimize transaction processes. It solves problems related to payment processing, such as identifying routing issues and improving decision-making, by providing read-only access to the routing engine and supporting natural-language queries. The tool accepts queries and scenario simulations as inputs and returns explanations, evidence, and summaries as outputs.

Canonical page: https://skillsregistry.net/skills/vryahn-payment-orchestrator  
JSON: https://api.skillsregistry.net/v1/skills/vryahn-payment-orchestrator

## Description

Enables agents to interrogate payment routing decisions through six tools: route transactions, explain decisions, simulate scenarios, inspect segment evidence, normalize decline codes, and review backtest summaries. It provides read-only access to the routing engine, allowing natural-language queries without modifying any decisions.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ey31jrr08x)
- **Repository:** <https://github.com/vryahn/payment_orchestrator>

## 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": "vryahn-payment-orchestrator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vryahn-payment-orchestrator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vryahn-payment-orchestrator/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