# CashChat MCP Server

> Use this tool when you need to integrate financial data with AI assistants, enabling natural language-based transaction management and spending analysis. It solves problems such as manual data entry and limited visibility into financial activity, providing inputs of financial data and outputs of transaction summaries and category breakdowns. Ideal for use cases requiring secure and convenient financial management through voice or text-based interfaces.

Canonical page: https://skillsregistry.net/skills/pam-supastellar-cashchat-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pam-supastellar-cashchat-mcp

## Description

Connects CashChat financial data to AI assistants, enabling users to manage transactions, view spending summaries, and track category breakdowns through natural language. It supports both local stdio and remote URL-based connections with secure OAuth 2.0 authentication.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kc4eau2urw)
- **Repository:** <https://github.com/pam-supastellar/cashchat-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": "pam-supastellar-cashchat-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pam-supastellar-cashchat-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pam-supastellar-cashchat-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