MCPs › Data & APIs › MCP-RLM
An implementation of the Recursive Language Models architecture that enables AI agents to process massive documents by programmatically decomposing them into sub-queries. It allows for cost-effective and accurate reasoning across millions of tokens by treating long-form data as an external environment for root and worker models.
Not monetized yet
Turn MCP-RLM’s tool calls into revenue: one disclosed sponsored slot, 70% revenue share, fail-open by design.
Install MCP-RLM
For anyone using MCP-RLM — no Lulu account needed# stdio server — install per the repository README: https://github.com/muhammadindar/mcp-rlm
Real-time weather for any city, built on the lulu-ads widget gallery. First-party, free forever.
View server →FAQ
MCP-RLM installs from source — follow the repository README.
Unrated out of 100, computed from cross-registry traction signals (installs, stars, registry presence) — never influenced by sponsorship.
Similar servers
Works well together
Your server?
This is for the person who owns MCP-RLM — adds Lulu Ads to your own code. Not the install steps above, those are for your users.
Copies a ready prompt: your coding agent installs the lulu-ads SDK, wires the slot, and applies the widget design guide.
or set up manually at getlulu.dev/publishers
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Managed hosting with monetization built in — waitlist.
[](https://getlulu.dev/mcps/mcp-rlm)