# spendveto

> spendveto — revanthrajeev-spendveto. Use this tool when you need to control and manage AI agents' expenses, enforcing budgets and approvals to prevent unauthorized payments. Spendveto solves problems of overspending and unregulated financial transactions by providing a centralized interface for policy checks and kill switches. It takes in policy parameters and payment requests as inputs, outputting approved or rejected transactions through its MCP interface.

Canonical page: https://skillsregistry.net/skills/revanthrajeev-spendveto  
JSON: https://api.skillsregistry.net/v1/skills/revanthrajeev-spendveto

## Description

Governs AI agents' spending by enforcing budgets, approvals, and kill switches before any payment, providing an MCP interface for tool calls with policy checks.

## Trust

- **Trust score (0–1):** 0.36
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a0pkyog7vk)
- **Repository:** <https://github.com/revanthrajeev/spendveto>

## 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": "revanthrajeev-spendveto"
    }
  }
}
```

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