# context-optimizer-mcp-js

> context-optimizer-mcp-js — aiagentkarl-context-optimizer-mcp-js. Use this tool when you need to optimize context windows and prevent overload in JavaScript MCP servers. It solves problems of information overload by using smart tool pruning and relevance scoring to prioritize key data. The tool takes in context window data as input and outputs a pruned and scored set of relevant information, making it ideal for use cases where efficient data processing is crucial.

Canonical page: https://skillsregistry.net/skills/aiagentkarl-context-optimizer-mcp-js  
JSON: https://api.skillsregistry.net/v1/skills/aiagentkarl-context-optimizer-mcp-js

## Description

JavaScript MCP Server — solve context window overload with smart tool pruning and relevance scoring

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/AiAgentKarl/context-optimizer-mcp-js)

## 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": "aiagentkarl-context-optimizer-mcp-js"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aiagentkarl-context-optimizer-mcp-js` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aiagentkarl-context-optimizer-mcp-js/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