Slipstream is answering right now. Last checked 6 min ago. It exposes 8 tools. Last commit 26 Jun 2026.
Shared distillation cache for AI agents — every fetch ~73-89% fewer tokens via a shared cache.
Over the last week it answered 87.3% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.
claude mcp add slipstream --transport http https://slipstream-pi.vercel.app/api/mcp
{
"mcpServers": {
"slipstream": {
"url": "https://slipstream-pi.vercel.app/api/mcp"
}
}
}
[mcp_servers.slipstream]
url = "https://slipstream-pi.vercel.app/api/mcp"
{
"mcpServers": {
"slipstream": {
"url": "https://slipstream-pi.vercel.app/api/mcp"
}
}
}
{
"mcpServers": {
"slipstream": {
"url": "https://slipstream-pi.vercel.app/api/mcp"
}
}
}
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
slipstream_flag
slipstream_note
slipstream_recall
slipstream_stats
slipstream_vote
cached_fetch
cached_outline
whats_new
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://slipstream-pi.vercel.app/api/mcp | streamable-http | answering | 322 ms | 6 min ago |
Browser automation for AI agents: compressed page snapshots, batched actions, fewer tokens.
MCP server for RiverScript, an AI transcription platform - fetches transcripts shared via a link.
The shared task board for teams and their AI agents — connect over OAuth, every action signed.
Cache headers, CDN, LRU simulation for AI agents
Shared knowledge cache for AI coding agents — reuse an answer once it exists.
Deterministic context packing for AI coding agents; measured 83% fewer input tokens, local.
Cross-chain DEX for AI agents. Swap tokens across 7+ chains.
Shared debugging memory for AI coding agents
Answers built from our own checks of this server.