{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_zwzr79x5st3f","handle":"w3-mcp-server-qdrant","url":"https://wellknown.network/agents/w3-mcp-server-qdrant","links":{"self":"https://wellknown.network/agents/w3-mcp-server-qdrant/record.json","html":"https://wellknown.network/agents/w3-mcp-server-qdrant","markdown":"https://wellknown.network/agents/w3-mcp-server-qdrant/record.md","api":"https://wellknown.network/api/v1/agents/w3-mcp-server-qdrant","status":"https://wellknown.network/api/v1/agents/w3-mcp-server-qdrant/status","claim":"https://wellknown.network/agents/w3-mcp-server-qdrant/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/w3-mcp-server-qdrant/claim.json","badge":"https://wellknown.network/agents/w3-mcp-server-qdrant/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air::server:w3-mcp-server-qdrant","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"w3-mcp-server-qdrant","summary":"MCP server for vector search with Qdrant and Ollama embeddings","description":"# W3 MCP Qdrant Server\n\nPython MCP server for vector search using [Qdrant](https://qdrant.tech/) vector database and [Ollama](https://ollama.ai/) embeddings.\n\n**Status:** ✅ Working with Qdrant vector search and Ollama embeddings + Advanced query techniques\n\n## Features\n\n- **qdrant_search** - Search for similar documents using text queries (auto-embedded via Ollama)\n  - ✨ Query Expansion - Generate N query variations, search all, merge with RRF\n  - ✨ HyDE - Hypothetical Document Embeddings for semantic enrichment\n  - ✨ Reranking - Use LLM to reorder results by relevance\n- **qdrant_list_collections** - List and manage Qdrant collections\n\nSupports flexible output formats (Markdown or JSON) with configurable similarity thresholds and advanced search options.\n\n## Quick Start\n\n### 1. Prerequisites Setup\n\n#### Qdrant Server\n\n```bash\n# Using Docker (Recommended)\ndocker run -p 6333:6333 qdrant/qdrant:latest\n```\n\nOr install locally: [Qdrant Quick Start](https://qdrant.tech/documentation/quick-start/)\n\n#### Ollama Server\n\n```bash\n# Install: https://ollama.ai\nollama pull bge-m3\nollama pull mistral\nollama serve\n```\n\nAvailable embedding models:\n\n- `bge-m3` (384 dims) - ⭐ **recommended** - best quality-speed balance\n- `nomic-embed-text` (768 dims) - balanced, good for general use\n- `mxbai-embed-large` (1024 dims) - highest quality\n- `all-minilm` (384 dims) - ultra-lightweight, good for mobile\n\n### 2. Clean Setup (Important!)\n\n```bash\ncd /path/to/w3-mcp-server-qdrant\n\n# Remove old lockfile and venv\nrm -rf uv.lock .venv venv\n\n# Unset old environment variable\nunset VIRTUAL_ENV\n```\n\n### 3. Install Dependencies with uv\n\n```bash\n# Install all Python dependencies using uv\nuv sync\n```\n\nThat's it! `uv sync` installs all dependencies including MCP, pydantic, qdrant-client, and httpx.\n\n### 4. Configure Environment\n\nCreate a `.env` file from template:\n\n```bash\ncp .env.example .env\n```\n\nEdit `.env`:\n\n```bash\n# Qdrant Configuration\nQDRANT_URL=http://localhost:6333\nQDRANT_API_KEY=  # Optional i…","publisher":null,"homepage":"https://github.com/famtong8-dev/w3-mcp-server-qdrant/blob/main/README.md","repository":"https://github.com/famtong8-dev/w3-mcp-server-qdrant/releases","version":"0.1.7","license":"MIT","protocols":["mcp"],"tags":["mcp","qdrant","vector-search","ollama","embeddings"],"pricing":null,"endpoints":[{"url":"pypi:w3-mcp-server-qdrant","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":"data.database","name":"Databases","confidence":0.791,"provenance":"derived"}],"categories":["data"],"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":"w3-mcp-server-qdrant","registry":"pypi","observedAt":"2026-09-10T15:25:19.990Z","publishedAt":"2026-04-01T09:44:25.461731Z","latestVersion":"0.1.7"}},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"w3-mcp-server-qdrant","url":"https://pypi.org/project/w3-mcp-server-qdrant/","firstSeenAt":"2026-09-10T15:24:02.479Z","fetchedAt":"2026-09-10T15:24:02.479Z","normalizedAt":"2026-09-10T15:24:02.479Z"}]},"firstSeenAt":"2026-09-10T15:24:02.479Z","updatedAt":"2026-09-10T15:25:19.990Z"}