# cost-guard-mcp

> cost-guard-mcp — mcpsmiths-cost-guard-mcp. Use this tool when you need to optimize query performance and costs across multiple data platforms. The cost-guard-mcp provides pre-flight query cost and result-size guardrails for AI agents, solving problems of unexpected expenses and inefficient data processing in BigQuery, Snowflake, and Databricks. It takes query inputs and returns estimated costs and result sizes, helping you make informed decisions before executing queries.

Canonical page: https://skillsregistry.net/skills/mcpsmiths-cost-guard-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mcpsmiths-cost-guard-mcp

## Description

Pre-flight query cost and result-size guardrails for AI agents across BigQuery, Snowflake, and Databricks

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mcpsmiths/cost-guard-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": "mcpsmiths-cost-guard-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcpsmiths-cost-guard-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcpsmiths-cost-guard-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
