{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_wc6c6c9amnef","handle":"qdrant-mcp-2","url":"https://wellknown.network/agents/qdrant-mcp-2","links":{"self":"https://wellknown.network/agents/qdrant-mcp-2/record.json","html":"https://wellknown.network/agents/qdrant-mcp-2","markdown":"https://wellknown.network/agents/qdrant-mcp-2/record.md","api":"https://wellknown.network/api/v1/agents/qdrant-mcp-2","status":"https://wellknown.network/api/v1/agents/qdrant-mcp-2/status","claim":"https://wellknown.network/agents/qdrant-mcp-2/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/qdrant-mcp-2/claim.json","badge":"https://wellknown.network/agents/qdrant-mcp-2/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air::server:qdrant-mcp-2","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"qdrant-mcp","summary":"Qdrant MCP server with configurable embedding providers","description":"# Qdrant MCP Server\n\nA Model Context Protocol (MCP) server that provides semantic memory capabilities using Qdrant vector database with configurable embedding providers.\n\n## Features\n\n- **Multiple Embedding Providers**:\n  - OpenAI (text-embedding-3-small, text-embedding-3-large, text-embedding-ada-002)\n  - Sentence Transformers (all-MiniLM-L6-v2, all-mpnet-base-v2, and more)\n- **Semantic Search**: Store and retrieve information using vector similarity\n- **Flexible Configuration**: Environment variables for all settings\n- **MCP Tools**: Store, find, delete, and list operations\n- **Metadata Support**: Attach custom metadata to stored content\n\n## Installation\n\n### Via uvx (Recommended for MCP)\n\nThe server is designed to be lightweight by default. When using OpenAI embeddings:\n\n```bash\n# For OpenAI embeddings (lightweight, no ML dependencies)\nuvx qdrant-mcp\n```\n\nFor local embeddings with Sentence Transformers:\n\n```bash\n# For local embeddings (includes torch and other ML libraries)\nuvx --with sentence-transformers qdrant-mcp\n```\n\n### Via pip (Development)\n\n```bash\n# Clone the repository\ngit clone https://github.com/andrewlwn77/qdrant-mcp.git\ncd qdrant-mcp\n\n# Basic install (OpenAI embeddings only)\npip install -e .\n\n# With local embeddings support\npip install -e . sentence-transformers\n```\n\n## Configuration\n\nThe server can be configured using environment variables:\n\n### Required Environment Variables\n\n- `EMBEDDING_PROVIDER`: Choose between `openai` or `sentence-transformers`\n- `EMBEDDING_MODEL`: Model name for the chosen provider\n- `OPENAI_API_KEY`: Required when using OpenAI embeddings\n\n### Optional Environment Variables\n\n- `QDRANT_URL`: Qdrant server URL (default: `http://localhost:6333`)\n- `QDRANT_API_KEY`: Qdrant API key (optional)\n- `COLLECTION_NAME`: Qdrant collection name (default: `mcp_memory`)\n- `DEVICE`: Device for sentence transformers (default: auto-detect)\n- `DEFAULT_LIMIT`: Default search results limit (default: 10)\n- `SCORE_THRESHOLD`: Minimum similarity sc…","publisher":null,"homepage":"https://github.com/andrewlwn77/qdrant-mcp","repository":"https://github.com/andrewlwn77/qdrant-mcp","version":"0.2.0","license":"Apache-2.0","protocols":["mcp"],"tags":["embeddings","mcp","qdrant","semantic-search","vector-search"],"pricing":null,"endpoints":[{"url":"pypi:qdrant-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"data.vector-search","name":"Vector Search","confidence":1,"provenance":"declared"},{"slug":"dev.version-control","name":"Version Control","confidence":1,"provenance":"derived"},{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":0.882,"provenance":"derived"}],"categories":["data","dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"qdrant-mcp","registry":"pypi","observedAt":"2026-09-10T10:25:55.353Z","publishedAt":"2025-07-13T01:46:22.818886Z","latestVersion":"0.2.0"}},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"qdrant-mcp","url":"https://pypi.org/project/qdrant-mcp/","firstSeenAt":"2026-09-10T10:24:57.114Z","fetchedAt":"2026-09-10T10:24:57.114Z","normalizedAt":"2026-09-10T10:24:57.114Z"}]},"firstSeenAt":"2026-09-10T10:24:57.114Z","updatedAt":"2026-09-10T10:25:55.353Z"}