Enables automatic project detection and repository-scoped indexing, allowing for codebase-aware semantic and keyword searches by leveraging Git repository awareness.
workspace-qdrant-mcp
Project-scoped vector database for AI assistants, providing hybrid semantic + keyword search with automatic project detection.
Features
Hybrid Search - Combines semantic similarity with keyword matching using Reciprocal Rank Fusion
Project Detection - Automatic Git repository awareness and project-scoped collections
6 MCP Tools - search, retrieve, rules, store, grep, list
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
wqmcommand-line toolBackground Daemon -
memexdfor continuous file monitoring and processing
Quick Start
Prerequisites
Qdrant -
docker run -d -p 6333:6333 -v qdrant_storage:/qdrant/storage qdrant/qdrantC 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) ordnf groupinstall "Development Tools"(Fedora)Windows: Install Visual Studio Build Tools with C++ workload
Install
Option 1: Homebrew (Recommended — macOS & Linux)
brew install ChrisGVE/tap/workspace-qdrant
brew services start workspace-qdrantOption 2: Pre-built Binaries
# macOS / Linux
curl -fsSL https://raw.githubusercontent.com/ChrisGVE/workspace-qdrant-mcp/main/scripts/download-install.sh | bash
# Windows (PowerShell)
irm https://raw.githubusercontent.com/ChrisGVE/workspace-qdrant-mcp/main/scripts/download-install.ps1 | iexInstalls wqm and memexd to ~/.local/bin (Linux/macOS) or %LOCALAPPDATA%\wqm\bin (Windows).
Option 3: Build from Source
git clone https://github.com/ChrisGVE/workspace-qdrant-mcp.git
cd workspace-qdrant-mcp
./install.shSee Installation Reference for detailed instructions and platform-specific notes. For Windows, see the Windows Installation Guide.
Configure MCP
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"workspace-qdrant-mcp": {
"command": "node",
"args": ["/path/to/workspace-qdrant-mcp/src/typescript/mcp-server/dist/index.js"],
"env": {
"QDRANT_URL": "http://localhost:6333"
}
}
}
}Claude Code:
claude mcp add workspace-qdrant-mcp -- node /path/to/workspace-qdrant-mcp/src/typescript/mcp-server/dist/index.jsVerify
wqm --version
wqm admin healthCLAUDE.md Integration
Add the following to your project's CLAUDE.md (or your global ~/.claude/CLAUDE.md) so Claude Code uses workspace-qdrant proactively:
## workspace-qdrant
The `workspace-qdrant` MCP server provides codebase-aware search, a library knowledge base, a scratchpad for accumulated insights, and persistent behavioral rules. The tool schemas are self-describing; these instructions cover *when* and *how* to use them.
### Primary Search and Knowledge Base
**Use `workspace-qdrant` first whenever context is uncertain** — first session on a project, returning after a significant gap, or exploring an unfamiliar subsystem. It is faster and more accurate than walking files manually, and it retrieves findings from prior sessions that would otherwise be lost.
**Three-step protocol:**
1. **Search** with `workspace-qdrant` (`search`, `grep`, `list`, or `retrieve`)
2. **Fall back** to `Grep`, `Glob`, `WebSearch` only when workspace-qdrant is insufficient or unavailable
3. **Store** any new findings, analysis, or design rationale via `store` so they are retrievable in future sessions
When a fresh handover or strong prior context already covers what you need, skip the exploratory search — but always store new findings at the end.
**Collections and their purpose:**
- `projects` — indexed codebase; use `scope="project"` (current project) or `scope="all"` (across all projects)
- `libraries` — external reference docs, API specs, third-party documentation; add via `store` with `collection="libraries"` and search with `includeLibraries=true`
- `scratchpad` — analysis, design rationale, research transcripts, architectural insights; complements session handovers by building a growing, semantically searchable knowledge layer across sessions
- `rules` — persistent behavioral rules; load at session start via `rules` → `action="list"`
**Practical notes:**
- Use `grep` for exact strings or regex; `list` with `format="summary"` to explore project structure
- Store external docs or specs into `libraries` so they are searchable alongside code
- Use the scratchpad to record *why* decisions were made, not just *what* was done — future sessions can retrieve the reasoning
### Sub-Agents
Sub-agents start with only the prompt you give them — they have no session history or handover context. They must always use `workspace-qdrant` first for any code exploration, without exception. Include this verbatim in every agent prompt:
> "You have no prior context about this codebase. Use `workspace-qdrant` as your mandatory first tool for ALL code searches — symbols, functions, architecture, patterns, prior findings. Use `search`, `grep`, `list`, or `retrieve` before touching any file with Read/Grep/Glob. Store any new findings, analysis, or design rationale via `store` (scratchpad for insights, libraries for reference docs) so they persist for future sessions."
### Project Registration
At session start, check whether the current project is registered with workspace-qdrant. If it is not, ask the user whether they want to register it (do not register silently). Once registered, the daemon handles file watching and ingestion automatically — no further action is needed.
### Behavioral Rules
The `rules` tool manages persistent rules that are injected into context across sessions. Rules are **user-initiated only** — add rules when the user explicitly instructs you to, never autonomously. Use `action="list"` at session start to load active rules.
### Issue Reporting
workspace-qdrant is under active development. If you encounter errors, unexpected behavior, or limitations with any workspace-qdrant tool, report them as GitHub issues at https://github.com/ChrisGVE/workspace-qdrant-mcp/issues using the `gh` CLI.MCP Tools
Tool | Purpose |
| Hybrid semantic + keyword search across indexed content |
| Direct document lookup by ID or metadata filter |
| Manage persistent behavioral rules |
| Store content, register projects, save notes |
| Exact substring or regex search using FTS5 |
| List project files and folder structure |
See MCP Tools Reference for parameters and examples.
Collections
Collection | Purpose | Isolation |
| Project code and documentation | Multi-tenant by |
| Reference documentation (books, papers, docs) | Multi-tenant by |
| Behavioral rules and preferences | Multi-tenant by |
| Temporary working storage | Per-session |
CLI Reference
# Service management
wqm service start # Start background daemon
wqm service status # Check daemon status
wqm admin health # System health check
# Search and content
wqm search "query" # Search collections
wqm ingest file path.py # Ingest a file
wqm rules list # List behavioral rules
# Project and library
wqm project list # List registered projects
wqm library list # List libraries
wqm tags list # List tags with counts
# Code graph
wqm graph stats --tenant <t> # Node/edge counts
wqm graph query --node-id <id> --tenant <t> --hops 2 # Related nodes
wqm graph impact --symbol <name> --tenant <t> # Impact analysis
wqm graph pagerank --tenant <t> --top-k 20 # PageRank centrality
# Queue and monitoring
wqm queue stats # Queue statisticsSee CLI Reference for complete documentation.
Configuration
Environment Variables
Variable | Default | Description |
|
| Qdrant server URL |
| - | API key (required for Qdrant Cloud) |
|
| Embedding model |
Architecture
+-----------------+
| Claude/Client |
+--------+--------+
|
+--------v--------+
| MCP Server | (TypeScript)
+--------+--------+
|
+--------------+--------------+
| |
+--------v--------+ +--------v--------+
| Rust Daemon | | Qdrant |
| (memexd) | | Vector Database |
+--------+--------+ +-----------------+
|
+--------v--------+
| File Watcher |
| Code Graph |
| Embeddings |
+-----------------+The Rust daemon handles file watching, embedding generation, code graph extraction, and queue processing. All writes route through the daemon for consistency.
Documentation
User guides:
Quick Start — get running in 5 minutes
User Manual — full usage guide
LLM Integration — best practices for Claude
Reference:
CLI Reference — all
wqmcommandsMCP Tools — tool parameters and examples
Configuration — all options and defaults
Architecture — component overview
See the Documentation Index for specifications, ADRs, and developer resources.
Development
# TypeScript MCP server
cd src/typescript/mcp-server && npm install && npm run build && npm test
# Rust daemon and CLI (from src/rust/)
cargo build --release
cargo test
# Graph benchmarks
cargo bench --package workspace-qdrant-core --bench graph_bench
# Binaries output to:
# - target/release/wqm
# - target/release/memexdContributing
See CONTRIBUTING.md for development setup and guidelines.
License
MIT License - see LICENSE for details.
Inspired by