Connect your AI agent: one tool, just the right section

Give your AI agent your knowledge base — and it reads only the section that answers the question, not the whole note. A few hundred tokens instead of a few thousand, with the answer at the top of the context window where the model reads it best.

trip2g speaks MCP (Model Context Protocol). This small adapter wraps the three steps — search, navigate the table of contents, read the section — into a single tool your agent calls. It never dumps a whole note or greps blindly.

What you get

One Python script. No dependencies, no pip install — your agent launches it directly. Download it from GitHub:

trip2g_mcp_stdio_adapter.py

Set it up

Download the script above.
Add it to your MCP client (Claude Desktop, Cursor, Claude Code, or any agent that speaks MCP over stdio):

{
  "mcpServers": {
    "trip2g": {
      "command": "python3",
      "args": ["/absolute/path/to/trip2g_mcp_stdio_adapter.py"],
      "env": { "TRIP2G_MCP_URL": "https://YOUR-SITE/_system/mcp" }
    }
  }
}

For private or subscriber-only content, add "TRIP2G_TOKEN": "t2g_…" to env (get a token in your account → Tokens).

That's it. Your agent now has one tool — search and read the most relevant section — with a description telling it exactly when to use it. Ask a question, get back the exact section, cheaply.

Why this beats dumping whole notes: Token Economy.