Use These Docs

memtomem’s docs can be read directly by AI agents in two ways. Both work with no hosted server.

llms.txt

LLM-friendly documentation indexes, generated statically at build time.

File	Purpose
`/llms.txt`	Index — lists the available doc sets
`/llms-full.txt`	The entire documentation in one file
`/llms-small.txt`	Abridged version for small context windows

Most tools — Claude, ChatGPT, Cursor — can fetch these URLs directly.

Local MCP server (mcpdoc)

mcpdoc is an open-source MCP server that exposes llms.txt as MCP tools. It runs on your machine — no hosting required — and your agent searches the memtomem docs through its list_doc_sources and fetch_docs tools.

Prerequisite

# install uv (skip if you already have it)
curl -LsSf https://astral.sh/uv/install.sh | sh

Run

uvx --from mcpdoc mcpdoc --urls "memtomem:https://memtomem.com/llms.txt" --transport stdio

Connect Claude Code

claude mcp add memtomem-docs -s user -- \
  uvx --from mcpdoc mcpdoc --urls "memtomem:https://memtomem.com/llms.txt" --transport stdio

Cursor · Windsurf · Antigravity · other MCP clients

Add it to your MCP config file.

{
  "mcpServers": {
    "memtomem-docs": {
      "command": "uvx",
      "args": ["--from", "mcpdoc", "mcpdoc", "--urls", "memtomem:https://memtomem.com/llms.txt", "--transport", "stdio"]
    }
  }
}

Codex CLI and other stdio MCP clients register the same command / args.

Tell your agent to use it

If your agent doesn’t reach for the tools automatically, add a line to its rules / system prompt:

For memtomem questions, use the memtomem-docs MCP server — call list_doc_sources first, then fetch_docs to read the relevant pages.

Or remember it with memtomem

memtomem is itself a memory MCP server, so you can index the docs and run hybrid search over them:

curl -sL https://memtomem.com/llms-full.txt -o memtomem-docs.md
mm index ./memtomem-docs.md

Your agent then finds answers with mem_search. See Hybrid Search.