# AI Token Cost Optimization MCP Server

> AI Token Cost Optimization MCP Server — sujanghosh2002-my-mcp-server. Use this tool when you need to optimize AI token costs and estimate API expenses for large language models (LLMs). It provides input fields for prompts and model selection, and outputs estimated costs and optimization suggestions. Ideal for developers and businesses looking to reduce AI infrastructure expenses and compare pricing across multiple LLMs.

Canonical page: https://skillsregistry.net/skills/sujanghosh2002-my-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sujanghosh2002-my-mcp-server

## Description

Provides tools to count tokens, estimate API costs, optimize prompts, and compare AI model pricing for multiple LLMs.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ocouwjc1ex)
- **Repository:** <https://github.com/SujanGhosh2002/my-mcp-server>

## 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": "sujanghosh2002-my-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sujanghosh2002-my-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sujanghosh2002-my-mcp-server/pull`

---
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