# Context Optimizer MCP Server

> Use this tool when you need to optimize AI coding workflows by reducing unnecessary token usage and improving context understanding. It analyzes targeted files, executes terminal commands with intelligent output extraction, and conducts web research to provide relevant information. Ideal for use cases where efficient information extraction and reduced computational overhead are crucial.

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

## Description

Provides AI coding assistants with context optimization tools including targeted file analysis, intelligent terminal command execution with LLM-powered output extraction, and web research capabilities. Helps reduce token usage by extracting only relevant information instead of processing entire files and command outputs.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sdc6kzt71o)
- **Repository:** <https://github.com/malaksedarous/context-optimizer-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": "malaksedarous-context-optimizer-mcp-server"
    }
  }
}
```

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