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Knowledge & Memory (RAG) #TypeScript#混合部署#MIT

Context Optimizer MCP Server

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.

Knowledge & Memory (RAG) npm 0 platforms 0 features

Install

npx -y context-optimizer-mcp-server

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

{
  "mcpServers": {
    "context-optimizer-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "context-optimizer-mcp-server"
      ],
      "env": {
        "CONTEXT_OPT_EXA_KEY": "<CONTEXT_OPT_EXA_KEY>",
        "CONTEXT_OPT_CLAUDE_KEY": "<CONTEXT_OPT_CLAUDE_KEY>",
        "CONTEXT_OPT_GEMINI_KEY": "<CONTEXT_OPT_GEMINI_KEY>",
        "CONTEXT_OPT_OPENAI_KEY": "<CONTEXT_OPT_OPENAI_KEY>",
        "CONTEXT_OPT_LLM_PROVIDER": "<CONTEXT_OPT_LLM_PROVIDER>",
        "CONTEXT_OPT_ALLOWED_PATHS": "<CONTEXT_OPT_ALLOWED_PATHS>"
      }
    }
  }
}

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.

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