Mmcp.market

Slipstream MCP server

by tathagat22·io.github.tathagat22/slipstream·v1.0.0

Shared distillation cache for AI agents — every fetch ~73-89% fewer tokens via a shared cache.

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not scanned yet

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Usage numbers are collected on the next scan

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If you have run it, two minutes of your experience saves the next person an afternoon.

Slipstream tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Not scanned yet. New registry listings are scanned within a day of import.

Install directly

claude mcp add --transport http slipstream https://slipstream-pi.vercel.app/api/mcp
Add to Cursor

Slipstream: common questions

Is Slipstream MCP server safe?
Not known yet: the safety scan has not run. New listings are scanned within a few days.
How do I install Slipstream?
It runs remotely at slipstream-pi.vercel.app. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Slipstream need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Slipstream maintained?
The latest release is v1.0.0.
Is Slipstream up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Slipstream?
Servers from other publishers that do the same job: Codebase Memory MCP server, Honcho MCP server and Trace MCP server. Compare all Slipstream alternatives.

Alternatives to Slipstream

Same job from other publishers: the closest match first, then the best rated.

All Slipstream alternatives →
  • Codebase Memory
    Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
    C
  • Honcho
    Memory that reasons: continual learning for stateful agents. Better context, fewer tokens.
    A
  • Trace
    Code graph MCP: 81 languages, 88 frameworks, 72.7% fewer PR-review tokens, comprehension at parity
    A
  • Visual Memory MCP
    Local visual UI cache for AI agents using perceptual hashing + CLIP to cut vision token use.
    A

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