Context Optimizer

Name: Context Optimizer
Author: malaksedarous

@malaksedarous

About Context Optimizer

Provides context optimization tools to extract targeted information rather than processing large files and command outputs in their entirety.

#productivity #automation #typescript #code-analysis #gemini #openai #developer-tools #file-analysis #claude #ai-research #ai-tools #github-copilot #terminal-automation #exa-ai #llm-integration #web-research #context-optimization #chat-context #command-extraction

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "context-optimizer": {
      "command": "context-optimizer-mcp"
    }
  }
}

Tools

Extract specific information from files without loading entire contents into chat context. Perfect for checking if files contain specific functions, extracting import/export statements, or understanding file purpose without reading the full content.

Execute terminal commands and intelligently extract relevant information using LLM analysis. Supports non-interactive commands with security validation, timeouts, and session management for follow-up questions.

Continue conversations about previous terminal executions without re-running commands. Access complete context from previous `runAndExtract` calls including full command output and execution details.

Conduct quick, focused web research on software development topics using Exa.ai's research capabilities. Get current best practices, implementation guidance, and up-to-date information on evolving technologies.

Comprehensive research and analysis using Exa.ai's exhaustive capabilities for critical decision-making and complex architectural planning. Ideal for strategic technology decisions, architecture planning, and long-term roadmap development.

Overview

What is Context Optimizer?

Context Optimizer is an MCP server that provides tools for file interrogation, terminal command execution with LLM analysis, follow-up questions, and web research using Exa.ai and a Gemini LLM. It is designed for developers using MCP-compatible clients like Claude Desktop and VS Code to optimize context usage.