The request "vector-cluster" names no specific product, so the answer is the products that do vector similarity search and clustering-related work. Qdrant 3 and Redis 2 offer vector search with indexed actions for KNN and HNSW similarity; Pinecone 5 and Weaviate 9 are vector databases; LocalAI 8 creates embeddings for clustering; scikit-learn 4 is a general machine learning library in Python.
- 1
Qdrantqdrant.techverified and signed
Open-source vector search engine that finds the points closest to a given embedding through its search points action 313.
official:MCP server · mcp-server-qdrantSDK · qdrant-clientskill · qdrant-clients-sdkSDK · @qdrant/js-client-restskill · qdrant-search-quality+45 community tools built for it
for agents: search_points · vector · add_points_to_collection
- 2
Redisredis.iofound in code, not yet checked
Redis 8 vector search creates HNSW similarity indexes on hashes and runs KNN vector similarity search 212.
official:MCP server · Redis MCP ServerSDK · redisskill · redis-coreSDK · redis+38 community tools built for it
for agents: vector_search_hash · create_vector_index_hash · set_vector_in_hash
- 3
Pineconepinecone.ioverified and signed
Vector database whose search vector action searches a namespace with a query vector to find similar records 515.
official:MCP server · @pinecone-database/mcpSDK · @pinecone-database/pineconeskill · pinecone+10 community tools built for it
for agents: search_vector · get_vector · upsert_vector
- 4
- 5
Weaviateweaviate.ioverified and signed
AI-native vector database with an official MCP server and Python client for storing and searching vectors 919.
official:MCP server · MCP Server WeaviateSDK · weaviate-clientCLI · weaviaterepository · irpapersSDK · weaviate-client+5 community tools built for it
for agents: weaviate
- 6
scikit-learnscikit-learn.orgwebsite read, tools not yet checked
Machine learning library in Python that provides general-purpose clustering algorithms.
Sources
- 2Redis - Real-time data for agents & appsredis.io · read 2026-10-29
- 3Qdrant - Vector Search Engineqdrant.tech · read 2026-10-29
- 4scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentationscikit-learn.org · read 2026-10-29
- 5The trusted AI knowledge company | Pineconepinecone.io · read 2026-10-29
- 8LocalAI · Make AI run on every machinelocalai.io · read 2026-10-29
- 9The AI database developers love | Weaviateweaviate.io · read 2026-10-29
- 12Redis MCP Server: declares "vector_search_hash" (the record we read)github.com · read 2026-10-24
- 13Qdrant (Activepieces): declares "search_points" (the record we read and signed)unfragile.ai · read 2026-10-24
- 15Pinecone (Activepieces): declares "search_vector" (the record we read and signed)unfragile.ai · read 2026-10-24
- 18LocalAI (Activepieces): declares "create_embedding" (the record we read and signed)unfragile.ai · read 2026-10-24
- 19weaviate-client: declares "weaviate" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
github-release · github-release verified and signed
Guides IA through releasing a new version of a GitHub library end-to-end. Handles SemVer versioning and Keep a Changelog formatting automatically.
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.
search_points · Qdrant (Activepieces) verified and signed
Search Points — Search for points closest to your given vector (= embedding)
· scikit-learn: machine learning in Python website read, tools not yet checked
search_vector · Pinecone (Activepieces) verified and signed
Search Vectors — Search a namespace using a query vector to find similar records.
· async-std website read, tools not yet checked
A Rust library for easy and understandable async programming
· Supabase Realtime website read, tools not yet checked
Build production-grade applications with a Postgres database, Authentication, instant APIs, Realtime, Functions, Storage and Vector embeddings. Start for free.
create_embedding · LocalAI (Activepieces) verified and signed
Create Embedding — Turn text into a vector for semantic search or clustering.
weaviate · weaviate-client verified and signed
· aio-libs Aiobotocore website read, tools not yet checked
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.