Qdrant MCP Server
Official Qdrant vector database MCP server. Acts as a semantic memory layer on top of Qdrant: store information with metadata, retrieve via similarity search. Two tools, very small surface area, exceptionally maintained by the Qdrant team. Configurable embedding provider (fastembed default), supports remote and local Qdrant clusters.
“Official Qdrant vector database MCP server. Acts as a semantic memory layer on top of Qdrant: store information with metadata, retrieve via similarity search. Two tools, very small surface area, exceptionally maintained by the Qdrant team. Pushed two days ago with 2 commits in the last 30 days; 6 releases shipped, 0.8.x line stable. The simplest path to durable agent memory backed by a real vector database. Configurable embedding provider (fastembed default with sentence-transformers/all-MiniLM-L6-v2). Supports both remote Qdrant clusters via QDRANT_URL and local databases via QDRANT_LOCAL_PATH. Read-only mode available via QDRANT_READ_ONLY for query-only deployments. FastMCP-based, distributed via PyPI as mcp-server-qdrant.”
INSTALL THIS SERVER
{
"mcpServers": {
"qdrant": {
"command": "uvx",
"args": [
"mcp-server-qdrant"
],
"env": {
"QDRANT_URL": "http://localhost:6333",
"COLLECTION_NAME": "agent-memory",
"EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
}
}
}
}
{
"mcpServers": {
"qdrant": {
"command": "uvx",
"args": [
"mcp-server-qdrant"
],
"env": {
"QDRANT_URL": "http://localhost:6333",
"COLLECTION_NAME": "agent-memory",
"EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
}
}
}
}
{
"mcpServers": {
"qdrant": {
"command": "uvx",
"args": [
"mcp-server-qdrant"
],
"env": {
"QDRANT_URL": "http://localhost:6333",
"COLLECTION_NAME": "agent-memory",
"EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
}
}
}
}
{
"mcpServers": {
"qdrant": {
"command": "uvx",
"args": [
"mcp-server-qdrant"
],
"env": {
"QDRANT_URL": "http://localhost:6333",
"COLLECTION_NAME": "agent-memory",
"EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
}
}
}
}
{
"mcpServers": {
"qdrant": {
"command": "uvx",
"args": [
"mcp-server-qdrant"
],
"env": {
"QDRANT_URL": "http://localhost:6333",
"COLLECTION_NAME": "agent-memory",
"EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
}
}
}
}
2 SELECTED TOOLS
OUR ASSESSMENT
Official Qdrant MCP. Apache-2.0 licensed, distributed via PyPI as mcp-server-qdrant. 1,373 GitHub stars, 267 forks. Latest release v0.8.1 (December 2025). FastMCP-based with all FastMCP environment variables available. Two tools: qdrant-store and qdrant-find.
- Official Qdrant org publication.
- Tiny tool surface (qdrant-store, qdrant-find) keeps the agent tool selection clean.
- Configurable embedding model via EMBEDDING_PROVIDER and EMBEDDING_MODEL.
- Read-only mode via QDRANT_READ_ONLY for query-only deployments.
- Supports remote and local Qdrant via QDRANT_URL or QDRANT_LOCAL_PATH.
- FastMCP-based with all FastMCP environment variables available.
- Apache-2.0 license.
- 6 releases shipped with 1,373 stars and 267 forks.
- Two tools only; teams wanting collection management or batched operations need the Qdrant client SDK.
- Latest release v0.8.1 from December 2025; release cadence is slower than commit cadence.
- Embedding provider currently locked to fastembed family.
Stores in plaintext within Qdrant (encryption at rest is a Qdrant configuration concern). For multi-tenant deployments, scope each agent to a dedicated COLLECTION_NAME. QDRANT_API_KEY pins the Qdrant cluster; rotate on credential exposure. For local-only operation use QDRANT_LOCAL_PATH so vector data stays on the host.
Teams already running Qdrant for production vector search, agents needing durable queryable memory across sessions, and read-only knowledge bases where the LLM operates in query-only mode.
TECHNICAL DETAILS
RECORDED ADOPTION METRICS
Saved directory snapshots. Record last checked APR 29, 2026. The review date above does not refresh these figures.
// Recorded note1,373 stars and 267 forks confirm it as the canonical Qdrant integration path. Smithery badge in the README amplifies discovery.
// Recorded noteSecond-ranked in ai-ml category. Cleaner Tier 1 trade-off than Pinecone for evaluation: more stars, more forks, freshly maintained.
SOURCES & RECORDED CHECKS
These are the directory listings and check details held in this record. Client compatibility, directory listings and installation testing are separate signals. Recorded client names describe the scope of a check; they do not establish a security assessment or a recurring test schedule.
The same server, 5 different lenses. We reconcile these signals into our editorial score, which is why our number sometimes diverges from a directory-aggregate star count.
| Source | Their rating | Their star count | Their downloads | Last synced |
|---|---|---|---|---|
| AutomationSwitch This page | 4.5editorial | 1,373 | — | APR 29, 2026 |
| PulseMCP | — unrated | unavailable | unavailable | APR 29, 2026 |
| Smithery | — unrated | unavailable | unavailable | APR 29, 2026 |
| Glama | — unrated | unavailable | unavailable | APR 29, 2026 |
| MCP.so | — unrated | unavailable | unavailable | APR 29, 2026 |
| Official MCP Registry | — unrated | unavailable | unavailable | APR 29, 2026 |
// Counts are directory-reported; we don't adjust them. Discrepancies usually come from different snapshot times or star-caching.
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