# Token-Optimized MCP Server

> Use this tool when you need to optimize language model performance and reduce token consumption. It solves problems related to efficient web content extraction and metrics analysis by providing YAML serialization, HTML-to-Markdown distillation, and pre-flight token counting. The tool accepts web content and database queries as inputs and outputs optimized Markdown text and token usage metrics.

Canonical page: https://skillsregistry.net/skills/satyamkumar68-optimized-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/satyamkumar68-optimized-mcp-server

## Description

Minimizes LLM token consumption via YAML serialization, HTML-to-Markdown distillation, and pre-flight token counting, with tools for web content extraction and metrics database querying.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/syb0b3udw7)
- **Repository:** <https://github.com/satyamkumar68/optimized-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": "satyamkumar68-optimized-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/satyamkumar68-optimized-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/satyamkumar68-optimized-mcp-server/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