Qdrant is the open-source vector search engine named in the request, and its official doors include an MCP server, the qdrant-client SDK, the @qdrant/js-client-rest SDK and an agent skill for Qdrant vector search 1. Alternatives that do vector search are Pinecone 5, Weaviate 9 and Elastic's vector search 8.
- 1
Qdrantqdrant.techverified and signed
Open-source vector similarity search engine written in Rust, with an MCP server, qdrant-client SDK, JavaScript REST client and agent skills for vector search 1.
official:MCP server · mcp-code-snippetsSDK · qdrant-clientrepository · page-searchskill · qdrant-clients-sdkSDK · fastembed+45 community tools built for it
for agents: vector · qdrant-skills · add_points_to_collection
- 2
Pineconepinecone.ioverified and signed
Managed vector database with an official SDK and search_vector action to find similar records in a namespace 5.
official:MCP server · @pinecone-database/mcpSDK · @pinecone-database/pineconeskill · pinecone+10 community tools built for it
for agents: pinecone · get_vector · search_vector
- 3
Weaviateweaviate.ioverified and signed
AI-native vector database with a weaviate-client SDK and an MCP server for vector and semantic search 9.
official:MCP server · MCP Server WeaviateSDK · weaviate-clientCLI · weaviaterepository · irpapersSDK · weaviate-client+5 community tools built for it
for agents: weaviate
- 4
Elastic: The search database for AIelastic.coverified and signed
Search database with vector search for retrieving relevant passages, plus an Elasticsearch MCP server and SDK 8.
official:MCP server · Elasticsearch MCP ServerSDK · elasticsearchlibrary · Elasticsearch.NetCLI · logstashrepository · elastic-labs+27 community tools built for it
for agents: kibana-vega · map_symbols_by_query · sdk
Sources
- 1Qdrant - Vector Search Engineqdrant.tech · read 2026-10-29
- 5The trusted AI knowledge company | Pineconepinecone.io · read 2026-10-29
- 8Elastic: The search database for AI | Search, AI agents, Observability, and Security | Elasticelastic.co · read 2026-10-29
- 9The AI database developers love | Weaviateweaviate.io · read 2026-10-29
For agents: the 10 actions behind this answer
vector · qdrant-client verified and signed
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
dataverse-python-quickstart · dataverse-python-quickstart verified and signed
Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.
custom_api_call · Supabase (Activepieces) verified and signed
Custom API Call — Make a custom API call to a specific endpoint
pinecone · pinecone verified and signed
Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explore indexes. Acce
db · db verified and signed
Oracle Database guidance for SQL, PL/SQL, SQLcl, ORDS, Oracle Vector SDK, administration, app development, performance, security, migrations, and agent-safe database workflows. Use when the user asks to write, edit, rewrite, review, format, debug, tune, or explain SQL; create or refactor PL/SQL; use
vector-database · lance-namespace verified and signed
kibana-vega · kibana-vega verified and signed
Create Vega and Vega-Lite visualizations with ES|QL data sources in Kibana. Use when building custom charts, dashboards, or programmatic panel layouts beyond standard Lens charts.
weaviate · weaviate-client verified and signed
read_query · MCP-Brave-Search found in code, not yet checked
Execute a SELECT query on the SQLite database
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.