Vectorsearch runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 31 Oct 2026.
Store and retrieve text in a Qdrant vector database by similarity search.
Nothing serious here today
Today is the operative word: we check Vectorsearch every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
Connect this server
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add vectorsearch -- npx -y @reneturcios/vectorsearch{
"mcpServers": {
"vectorsearch": {
"command": "npx",
"args": [
"-y",
"@reneturcios/vectorsearch"
]
}
}
}[mcp_servers.vectorsearch]
command = "npx"
args = ["-y", "@reneturcios/vectorsearch"]{
"mcpServers": {
"vectorsearch": {
"command": "npx",
"args": [
"-y",
"@reneturcios/vectorsearch"
]
}
}
}{
"servers": {
"vectorsearch": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/vectorsearch"
]
}
}
}Alternatives to Vectorsearch
same job, measured the same way
Search, count and inspect 2.6M+ live Shopify stores by apps, tech stack, theme and country.
An MCP server for search and retrieval over a local LanceDB database
Exposes the full Qdrant vector database API as 56 MCP tools, not just store/find.
Similarity search, hybrid search, and index management for pgvector-backed PostgreSQL tables
Interactive Fiction Database: search text adventures and read one game's details.
Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
Serverless hybrid search: full-text, vector and faceted search, in SQL, ES DSL, Solr and more.
Search and SQL on object storage: full-text, vector and hybrid search plus SQL over your data.
Vectorsearch — questions
Answers built from our own checks of this server.