Trust score
76/100
MarketNow Registry / Search / axel-belfort/vector-search
axel-belfort/vector-search
In-memory vector search API for AI agents. Store documents and query by semantic meaning using TF-IDF vectorization with cosine similarity. Lightweight alternative to Pinecone/Weaviate for small datas
Search
v0.0.0
by axel-belfort
Install risk
Runs registry code
Source
smithery
Indexed
2026-09-10
Install
$ npx -y @smithery/cli@latest install axel-belfort/vector-searchInstalling via npx/uvx/npm install executes arbitrary code from the public registry on your machine. This is the install-risk semantic of the MarketNow catalog — verify the publisher before running it.
How MarketNow scored this
Sentinel Index Heuristics — a security-first estimate from public signals:
- Package age and release activity (stale repositories lose points)
- Verified adoption: registry downloads or GitHub stars, not follower counts
- Typosquat distance against the 150 most-installed MCP packages
- Injection markers scanned in the package description
Heuristic, not a guarantee. For verified agent credentials and revocation, see the MarketNow Trust API.
What is axel-belfort/vector-search?
In-memory vector search API for AI agents. Store documents and query by semantic meaning using TF-IDF vectorization with cosine similarity. Lightweight alternative to Pinecone/Weaviate for small datas Indexed by MarketNow with trust 76/100 (Runs registry code).
How do I install it?
Run $ npx -y @smithery/cli@latest install axel-belfort/vector-search Installing via npx/uvx/npm install executes arbitrary code from the public registry on your machine. This is the install-risk semantic of the MarketNow catalog — verify the publisher before running it.
What does the trust score mean?
Security-first heuristic over public signals (age, adoption, typosquat distance, injection markers). It is not a popularity ranking and not a guarantee of safety. axel-belfort/vector-search scores 76/100.