# GetCurrentOffer MCP Server

> GetCurrentOffer MCP Server — stanley17112000-getcurrentoffer-mcp. Use this tool when you need to search and compare live credit card merchant offers across multiple providers, such as Amex, Chase, and Citi. It solves the problem of manually searching for the best cash back, points, or statement credits offers, providing a streamlined interface for AI agents to input search queries and receive output in the form of comparable offers. This tool is ideal for use cases where real-time offer comparison is necessary, such as in e-commerce, personal finance, or loyalty program management.

Canonical page: https://skillsregistry.net/skills/stanley17112000-getcurrentoffer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/stanley17112000-getcurrentoffer-mcp

## Description

Enables searching and comparing live credit card merchant offers (cash back, points, statement credits) across Amex, Chase, Citi, PayPal, Rakuten, and Capital One from any AI agent.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vj0cinyjwp)
- **Repository:** <https://github.com/stanley17112000/getcurrentoffer-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": "stanley17112000-getcurrentoffer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stanley17112000-getcurrentoffer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stanley17112000-getcurrentoffer-mcp/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