# CostGate

> CostGate — yukimiyatake-costgate. Use this tool when you need to optimize AI token consumption and reduce costs associated with MCP tool definitions and responses. CostGate solves the problem of excessive token usage by filtering tool exposure and providing measured responses. It takes in MCP tool definitions and responses as input, and outputs optimized definitions and filtered responses to minimize costs.

Canonical page: https://skillsregistry.net/skills/yukimiyatake-costgate  
JSON: https://api.skillsregistry.net/v1/skills/yukimiyatake-costgate

## Description

Reduces AI token consumption by optimizing MCP tool definitions and responses, with a probe for measurement and a gate for filtered tool exposure and cost reduction.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uuttwlw026)
- **Repository:** <https://github.com/YukiMiyatake/costgate>

## 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": "yukimiyatake-costgate"
    }
  }
}
```

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