Context Optimizer
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 rele
What is Context Optimizer?
Context Optimizer is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 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...
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 rele
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Provides AI coding assistants with context optimization tool
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx context-optimizer-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Context Optimizer
The Context Optimizer MCP Server helps AI coding assistants reduce token consumption by extracting only the relevant parts of files and terminal output rather than loading entire contents. It exposes tools for targeted file analysis, LLM-powered terminal output extraction, and web research via Exa.ai — so assistants like Claude Code, Cursor, or GitHub Copilot can answer questions about large codebases without exhausting their context windows. It works with Google Gemini, Claude, or OpenAI as the extraction LLM backend.
Prerequisites
- Node.js 18 or higher and npm installed
- An LLM API key for the extraction backend: Google Gemini (CONTEXT_OPT_GEMINI_KEY), or Anthropic/OpenAI key
- An Exa.ai API key (CONTEXT_OPT_EXA_KEY) if you want web research capabilities
- An MCP-compatible client such as Claude Desktop, Cursor, or VS Code with Copilot
Install the package globally
Install the Context Optimizer MCP Server globally via npm so the binary is available system-wide.
npm install -g context-optimizer-mcp-serverObtain required API keys
Get an API key from your chosen LLM provider (Google AI Studio for Gemini at aistudio.google.com, or Anthropic/OpenAI consoles). Optionally get an Exa.ai key at exa.ai for web research tools.
Configure environment variables
Set the required environment variables. CONTEXT_OPT_LLM_PROVIDER selects which backend to use (gemini, claude, or openai) and CONTEXT_OPT_ALLOWED_PATHS restricts which filesystem paths the server can read.
export CONTEXT_OPT_LLM_PROVIDER="gemini"
export CONTEXT_OPT_GEMINI_KEY="your-gemini-api-key"
export CONTEXT_OPT_EXA_KEY="your-exa-api-key"
export CONTEXT_OPT_ALLOWED_PATHS="/Users/yourname/projects"Configure your MCP client
Add the server to your MCP client configuration. The command is 'context-optimizer-mcp' (the binary installed by npm).
{
"mcpServers": {
"context-optimizer": {
"command": "context-optimizer-mcp",
"env": {
"CONTEXT_OPT_LLM_PROVIDER": "gemini",
"CONTEXT_OPT_GEMINI_KEY": "your-gemini-api-key",
"CONTEXT_OPT_EXA_KEY": "your-exa-api-key",
"CONTEXT_OPT_ALLOWED_PATHS": "/Users/yourname/projects"
}
}
}
}Restart your MCP client and verify tools
Restart Claude Desktop or Cursor and confirm the five tools are available: askAboutFile, runAndExtract, askFollowUp, researchTopic, and deepResearch.
Context Optimizer Examples
Client configuration
Add this to your claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json)
{
"mcpServers": {
"context-optimizer": {
"command": "context-optimizer-mcp",
"env": {
"CONTEXT_OPT_LLM_PROVIDER": "gemini",
"CONTEXT_OPT_GEMINI_KEY": "AIza...",
"CONTEXT_OPT_EXA_KEY": "exa-...",
"CONTEXT_OPT_ALLOWED_PATHS": "/Users/yourname/projects"
}
}
}
}Prompts to try
Example prompts that leverage the server's token-saving capabilities
- "Use askAboutFile to extract only the database connection logic from /projects/app/src/db.ts"
- "Run 'npm test' and use runAndExtract to pull out only the failing test names and error messages"
- "Research best practices for React Query v5 cache invalidation using researchTopic"
- "Run 'docker ps -a' and extract just the containers that are in an exited state"
- "Use deepResearch to find the latest architectural patterns for microservices with Node.js and Kafka"Troubleshooting Context Optimizer
'context-optimizer-mcp' command not found after npm install
Ensure npm's global bin directory is in your PATH. Run 'npm config get prefix' to find the prefix, then add <prefix>/bin to your PATH. On macOS with nvm, this is often ~/.nvm/versions/node/<version>/bin.
File access denied or 'path not allowed' errors
Set CONTEXT_OPT_ALLOWED_PATHS to include the directories you want the server to read. Multiple paths can be separated by colons (e.g., /home/user/projects:/home/user/work). The restriction is a security feature to prevent access to sensitive system files.
researchTopic or deepResearch tools return errors
These tools require a valid CONTEXT_OPT_EXA_KEY. Register for a free API key at exa.ai and ensure the environment variable is set correctly in your MCP client config.
Frequently Asked Questions about Context Optimizer
What is Context Optimizer?
Context Optimizer is a Model Context Protocol (MCP) server that 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 rele It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Context Optimizer?
Follow the installation instructions on the Context Optimizer GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Context Optimizer?
Context Optimizer works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Context Optimizer free to use?
Yes, Context Optimizer is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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