# Payments Agent Gateway (MCP)

> Payments Agent Gateway (MCP) — saikrishnamulukutla-payments-mcp-server. Use this tool when you need to securely manage payments and enforce access control, particularly for high-value transactions that require human approval. The Payments Agent Gateway (MCP) enables safe interaction with a double-entry payments ledger, ensuring idempotency and policy-based access control. It is ideal for use cases that require secure, auditable, and compliant payment processing, with clear inputs for payment requests and outputs for transaction status and approval notifications.

Canonical page: https://skillsregistry.net/skills/saikrishnamulukutla-payments-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/saikrishnamulukutla-payments-mcp-server

## Description

An MCP server that enables AI agents to safely interact with a double-entry payments ledger, enforcing idempotency, policy-based access control, and human-in-the-loop approval for high-value actions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vhk7qxhan6)
- **Repository:** <https://github.com/SaiKrishnaMulukutla/payments-mcp-server>

## 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": "saikrishnamulukutla-payments-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/saikrishnamulukutla-payments-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/saikrishnamulukutla-payments-mcp-server/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
