The request names Qdrant, so Qdrant comes first: an open-source vector similarity search engine written in Rust, offering an MCP server, qdrant-client SDK, JS client, and agent skills for vector search 1. The alternatives below also do vector search: Redis offers KNN and hybrid vector search on hash data 3, Pinecone offers vector search via its search_vector action 6, and MongoDB Atlas offers Vector Search 10.
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Qdrantqdrant.techverified and signed
Open-source vector similarity search engine with an MCP server, qdrant-client SDK, and agent skills for scaling and search quality 1.
official:MCP server · mcp-code-snippetsSDK · qdrant-clientrepository · page-searchskill · qdrant-clients-sdkSDK · fastembed+45 community tools built for it
for agents: qdrant-skills · vector · search_points
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Redisredis.iofound in code, not yet checked
Performs KNN vector similarity search and hybrid search combining filters with vector similarity on vectors stored in Redis hashes 3.
official:MCP server · Redis MCP ServerSDK · redisCLI · memtier_benchmarkrepository · agent-memory-serverskill · redis-core+39 community tools built for it
for agents: vector_search_hash · hybrid_search · redis-search
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Pineconepinecone.ioverified and signed
Managed vector database whose search_vector action finds records similar to a query vector within a namespace 6.
official:MCP server · @pinecone-database/mcpSDK · @pinecone-database/pineconeskill · pinecone+10 community tools built for it
for agents: search_vector · get_vector · pinecone
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MongoDB Atlasmongodb.comverified and signed
Provides Atlas Vector Search for semantic search and recommendations alongside operational data in one platform 10.
official:SDK · pymongoCLI · mongodb-atlas-clirepository · ai-benchmarksskill · mongodb-query-optimizer+58 community tools built for it
for agents: mongodb-search-and-ai · find_documents · gridfs
Sources
- 1Qdrant - Vector Search Engineqdrant.tech · read 2026-10-29
- 3Redis - Real-time data for agents & appsredis.io · read 2026-10-29
- 6The trusted AI knowledge company | Pineconepinecone.io · read 2026-10-29
- 10MongoDB | The Intelligent Data Platform for the AI Era | MongoDBmongodb.com · read 2026-10-29
For agents: the 10 actions behind this answer
qdrant-skills · qdrant-skills verified and signed
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, and Java.
vector_search_hash · oci-data-science-ai-samples found in code, not yet checked
Perform a KNN vector similarity search using Redis 8 or later version on vectors stored in hash data structures.
vector_search_hash · Redis MCP Server found in code, not yet checked
Perform a KNN vector similarity search using Redis 8 or later version on vectors stored in hash data structures.
storing-and-querying-vectors · storing-and-querying-vectors verified and signed
Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate
neo4j-vector-index-skill · neo4j-vector-index-skill verified and signed
Create and manage Neo4j vector indexes, run vector similarity search (ANN/kNN), store embeddings on nodes or relationships, use SEARCH clause (Neo4j 2026.01+, preferred) or db.index.vector.queryNodes() procedure (deprecated 2026.04, still works on 2025.x), configure HNSW and quantization options, pi
search_vector · Pinecone (Activepieces) verified and signed
Search Vectors — Search a namespace using a query vector to find similar records.
search_rows · Supabase (Activepieces) verified and signed
Search Rows — Search for rows in a table with filters and pagination
vectorize-(-deprecated)-query-vector · Cloudflare API verified and signed
Query Vectors (Deprecated)
create_embedding · OpenAI (Activepieces) verified and signed
Create Embedding — Turn text into a vector for semantic search or clustering.
mongodb-search-and-ai · mongodb-search-and-ai verified and signed
Covers everything about search in MongoDB: Atlas Search (full-text), Vector Search (semantic), and Hybrid Search. Use this skill for ANY question about MongoDB search, including open-ended and explanatory ones asked before the user has any data or use case — 'how does search work in MongoDB?', 'I'm
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.