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Explorer/MCP/steiner385/qdrant-mcp-server
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Qdrant MCP Server

steiner385/qdrant-mcp-server

Enables semantic code search across codebases using Qdrant vector database and OpenAI embeddings, allowing users to find code by meaning rather than just keywords through natural language queries.

↗steiner385/qdrant-mcp-serverExternal link; availability not verifiedLicenseMIT LicenseHybrid hosting
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Time indexed (5mo)
0toolsHybrid5moindexed
Checked Apr 18, 2026
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First indexed Apr 18, 2026
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Can run locally or remotely depending on deployment. Review the source repository.
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↗steiner385/qdrant-mcp-serverExternal link; availability not verified
Environment variables (9)
BATCH_SIZEstringOPTIONALdefault: 10
Number of files to process in parallel
QDRANT_URLstringREQUIREDdefault: http://localhost:6333
URL to your Qdrant instance
MAX_FILE_SIZEstringOPTIONALdefault: 1048576
Maximum file size to index in bytes
OPENAI_API_KEYstringREQUIRED
Your OpenAI API key
QDRANT_API_KEYstringOPTIONAL
Your Qdrant API key (Optional, for Qdrant Cloud)
Show all 9 environment variables
EMBEDDING_MODELstringOPTIONALdefault: text-embedding-3-small
OpenAI embedding model to use
EXCLUDE_PATTERNSstringOPTIONALdefault: **/node_modules/**,**/.git/**,**/dist/**
Patterns of files to exclude from indexing
INCLUDE_PATTERNSstringOPTIONALdefault: **/*.{js,ts,jsx,tsx,py,java,go,rs,cpp,c,h}
Patterns of files to include in indexing
QDRANT_COLLECTION_NAMEstringOPTIONALdefault: codebase
Name of the Qdrant collection

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