MCP Qdrant runs on your own machine — the client starts it, so there is no endpoint to ping. 34 installs a week from npm.
Read-only Qdrant vector DB for AI agents — collections, info, browse points, count, search.
The linked repository no longer exists on GitHub — it was deleted or made private.
Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.
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 mcp-qdrant -- npx -y @infoinlet/mcp-qdrant
{
"mcpServers": {
"mcp-qdrant": {
"args": [
"-y",
"@infoinlet/mcp-qdrant"
],
"command": "npx"
}
}
}
[mcp_servers.mcp-qdrant]
command = "npx"
args = ["-y", "@infoinlet/mcp-qdrant"]
{
"mcpServers": {
"mcp-qdrant": {
"args": [
"-y",
"@infoinlet/mcp-qdrant"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"mcp-qdrant": {
"args": [
"-y",
"@infoinlet/mcp-qdrant"
],
"command": "npx"
}
}
}
MCP server for Oracle, MSSQL, PostgreSQL, MySQL, SQLite, MongoDB, and Qdrant vector search access.
Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
Graph + vector memory for agents: recall, ingest, search, distill. Local or remote backend.
Semantic code search for AI agents — hybrid BM25+vector, call-graph, 20+ languages.
Persistent memory for AI agents — semantic + recency search, ONNX embeddings, Docker Compose.
Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.
Create and manage vector database indexes, backups, and collections
Operate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.
Answers built from our own checks of this server.