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Slipstream

Search & Web Remote

A shared distillation cache for AI agents — clean-crawl a URL once, distill it to token-optimal markdown, and serve it content-addressed across every agent (~73–89% fewer tokens). Includes a collective-notes layer and cutoff-aware change detection.

GitHub Docs Glama

How to connect

  1. Glama registry

    View https://glama.ai/mcp/servers/aeqrpucj5j for deploy options, or install from https://github.com/tathagat22/slipstream (see README for MCP config).

  2. GitHub

    Install from https://github.com/tathagat22/slipstream and add the server to your MCP client configuration (see repository README).

Tools

Tool names are not listed in our registry for this server. Use Connect or Install above, then open your MCP client to see the live tool list.