Tuatara Embed Stocks is answering right now. Last checked 8 min ago. It exposes 1 tools.
Stock-symbol vectors: which listed symbols an event, theme or headline moves, ranked in one call.
Over the last week it answered 99.3% 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 8 min ago.
claude mcp add tuatara-embed-stocks --transport http https://cymetica.com/mcp/v1/stock-vectors
https://cymetica.com/mcp/v1/stock-vectors
[mcp_servers.tuatara-embed-stocks]
url = "https://cymetica.com/mcp/v1/stock-vectors"
{
"mcpServers": {
"tuatara-embed-stocks": {
"url": "https://cymetica.com/mcp/v1/stock-vectors"
}
}
}
{
"servers": {
"tuatara-embed-stocks": {
"type": "http",
"url": "https://cymetica.com/mcp/v1/stock-vectors"
}
}
}
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
stock_vectors
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://cymetica.com/mcp/v1/stock-vectors | streamable-http | answering | 960 ms | 8 min ago |
Memory for AI assistants in one SQLite file: full-text search, no vectors, no embeddings.
Search that learns from feedback, over text and images: embeds locally, sends DNA only vectors.
RAG memory for LLM agents over Garnet Vector Sets: store text as embeddings, recall by meaning.
Encrypted-first embedded database with vector search and agent memory, exposed as MCP tools
Offline agentic memory: remember/recall/relate/forget/why over a fused vector+graph+columnar engine
Offline, read-only tools that verify AI claims against evidence and replay conformance vectors.
Lineage-gated agent memory tools on Postgres + pgvector, enforced by row-level security.
Assembly-accelerated DuckDB MCP server for code search, indexing, and symbol lookup.
Answers built from our own checks of this server.