Project-aware collection management based on Qdrant, including a Rust MCP, daemon and CLI: hybrid semantic, pattern and full-text (FTS5) search into single or cross-concerns collection. Dedicated collections for knowledge library, LLM behavioral rules, and an LLM scratchpad
claude mcp add workspace-qdrant-mcp -- npx -y workspace-qdrant-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
4 ★ · ChrisGVE/workspace-qdrant-mcp · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 4 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository ChrisGVE/workspace-qdrant-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Project-scoped vector database for AI assistants, providing hybrid semantic + keyword search with automatic project detection. > ### 🚧 v0.2.0 rebuild in progress > > **workspace-qdrant-mcp is being rebuilt from the ground up in preparation for v0.2.0** — > a unified storage model, better search quality, more reliable file watching, and a cleaner > architecture, with a no-re-index migration for existing users. Once the design is locked > (targeted early July) we'll open the work to outside contributors. See the > **Roadmap** for the top-line plan. Features - **Hybrid Search** - Combines semantic similarity with keyword matching using Reciprocal Rank Fusion - **Project Detection** - Automatic Git repository awareness and project-scoped collections - **7 MCP Tools** - search, retrieve, rules, store, grep, list, embedding - **Code Intelligence** - Tree-sitter semantic chunking + LSP integration for active projects - **Code Graph** - Relationship graph with algorithms (PageRank, community detection, betweenness centrality) - **High-Performance CLI** - Rust-based wqm command-line tool - **Background Daemon** - memexd for continuous file monitoring and processing Quick Start Prerequisites - **Qdrant** - docker run -d -p 6333:6333 -v qdrant_storage:/qdrant/storage qdrant/qdrant - **C compiler** - Required for compiling Tree-sitter grammars on first use. Tree-sitter grammars are distributed as C source and compiled locally. - **macOS**: xcode-select --install (Xcode Command Line Tools) - **Linux**: apt install build-essential (Debian/Ubuntu) or dnf groupinstall "Development Tools" (Fedora) - **Windows**: Install Visual Studio Build Tools with C++ workload - **Clang/LLVM** - Required only to **build memexd from source**, for the LadybugDB C++ core (the default graph backend). Pre-built binaries (Homebrew, release artifacts) do not need it. - **macOS**: Xcode Command Line Tools include Clang (xcode-select --install) - **Linux**: apt install clang libclang-dev (Debian/Ubuntu) or dnf install clang (Fedora) - **Alternative**: build without the C++ toolchain using the SQLite-only backend — cargo build --no-default-features --features sqlite Install **Option 1: Homebrew (Recommended — macOS & Linux)** **Option 2: Pre-built Binaries** Installs wqm, memexd, and workspace-qdrant-mcp to ~/.local/bin (Linux/macOS) or %LOCALAPPDATA%\wqm\bin (Windows). **Option 3: Build from Source** See Installation Reference for detailed instructions and platform-specific notes. For Windows, see the Windows Installation Guide. Configure MCP **Claude Desktop** (claude_desktop_config.json): **Claude Code**: Verify CLAUDE.md Integration Add the following to your project's CLAUDE.md (or your global ~/.claude/CLAUDE.md) so Claude Code uses workspace-qdrant proactively: MCP Tools | Tool | Purpose | |------|---------| | search | Hybrid semantic + keyword search across indexed content | | retrieve | Direct document lookup by ID or metadata filter | | rules | Manage persistent behavioral rules | | store | Store content, register projects, save notes | | grep | Exact substring or regex search using FTS5 | | list | List project files and folder structure | See MCP Tools Reference for parameters and examples.