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TutorialApril 7, 20264 min read

Connect gotcontext.ai to Claude Code in 30 Seconds

What is MCP?

Model Context Protocol (MCP) is an open standard that lets AI tools connect to external services. gotcontext.ai exposes a remote MCP server that gives your AI tool access to 97+ compression and context management tools.

Setup: Claude Code

Add to your Claude Code MCP config (~/.claude/claude_desktop_config.json):

``json { "mcpServers": { "gotcontext": { "url": "https://api.gotcontext.ai/mcp", "headers": { "Authorization": "Bearer gc_live_YOUR_API_KEY" } } } } `

Setup: Cursor

In Cursor settings, add an MCP server:

  • URL: https://api.gotcontext.ai/mcp
  • Headers: Authorization: Bearer gc_live_YOUR_API_KEY
  • Setup: VS Code

    Install the MCP extension and add to .vscode/mcp.json:

    `json { "servers": { "gotcontext": { "url": "https://api.gotcontext.ai/mcp", "headers": { "Authorization": "Bearer gc_live_YOUR_API_KEY" } } } } `

    Setup: Gemini CLI

    `json { "mcpServers": { "gotcontext": { "url": "https://api.gotcontext.ai/mcp", "headers": { "Authorization": "Bearer gc_live_YOUR_API_KEY" } } } } `

    Verify It Works

    After connecting, your AI tool should have access to tools like ingest_context, read_skeleton, search_semantic`, and more.

    Try asking your AI tool: "Use gotcontext to compress this file and show me the savings."

    What's Included

    | Plan | Tools | Compressions/mo | | Enterprise | 126+ tools | Unlimited |

    Get your API key →