embeddinggemma_2_search_1 – 1 MCP server offers this tool
What it usually takes
dim– in 1 of 1docs_text– in 1 of 1query– in 1 of 1task– in 1 of 1
No server marks it as only reading: treat it as able to change data.
From each publisher's own tool list. We never call a tool.
Servers
| Server | Inputs | Read-only? |
|---|---|---|
EmbeddingGemma 2 co.huggingface.henrybit/embeddinggemma-2 Rank documents against a text query with EmbeddingGemma 2. The query receives the selected task prefix. Each document is formatted as `title: … | text: …`. Vectors are Matryoshka-truncated and L2-normalized, then scored with cosine similarity. | dim,docs_text,query,task | Not stated |