Workspace Qdrant MCP
The Workspace Qdrant MCP server provides AI assistants with project-scoped vector database capabilities for hybrid semantic and keyword search, persistent knowledge storage, and code intelligence across indexed codebases.
Six MCP Tools:
search— Hybrid (semantic + keyword), semantic-only, or keyword-only search across indexed code, documentation, libraries, rules, and scratchpad collections. Supports filtering by file type, path glob, branch, component, tags, and project scope.retrieve— Fetch specific documents by ID or metadata filter from any collection (projects, libraries, rules, scratchpad) with pagination support.rules— Add, update, remove, and list persistent behavioral rules that guide AI assistant behavior across sessions, scoped globally or per-project with priorities and tags.store— Store reference documentation, fetch and ingest web pages, save persistent notes/analysis (scratchpad), or register a project directory for automatic file watching and ingestion.grep— Fast exact substring or regex pattern matching across indexed files using FTS5 trigram index, with context lines, case sensitivity, and path filtering.list— Browse indexed project file structure in tree, summary, or flat format, with filtering by language, file type, extension, component, and glob patterns.
Additional Capabilities:
Code Intelligence: Automatic Git repository detection, Tree-sitter semantic chunking, LSP integration, and code relationship graphs with PageRank, community detection, and betweenness centrality algorithms.
Multi-Collection Storage: Four distinct collections —
projects,libraries,rules, andscratchpad— with proper isolation.Background Processing:
memexddaemon for continuous file monitoring, embedding generation, and queue processing.High-Performance CLI: Rust-based
wqmtool for service management, search, and administration.Integration: Compatible with Claude Desktop and Claude Code; available via Homebrew, pre-built binaries, or source build for macOS, Linux, and Windows.
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
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
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 status 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 status 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 project watch pause # Pause file watchers
wqm library list # List libraries
wqm tags list # List tags with counts
# Administration
wqm admin collections list # List collections
wqm admin rebuild all # Rebuild all indexes
wqm admin backup create # Backup snapshots
wqm admin stats overview # Search analytics
# 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
# Setup
wqm init completions zsh # Shell completions
wqm init man install # Install man pages
wqm init hooks install # Install Claude Code hooks (respects CLAUDE_CONFIG_DIR)
# 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 |
Claude Code Integration
wqm init hooks reads and writes Claude Code's settings.json. The
location is resolved from:
Variable | Default | Description |
|
| Claude Code config directory used by |
Example — Claude Code Enterprise:
export CLAUDE_CONFIG_DIR=~/.config/claude/claude-ent
wqm init hooks installObservability
The daemon exposes metrics and traces. Both are disabled by default.
Prometheus (/metrics, pull)
Enable via config or env var, then scrape:
# in the daemon config
observability:
telemetry:
prometheus:
enabled: true
port: 9464
bind: 0.0.0.0or:
WQM_PROMETHEUS_ENABLED=true WQM_PROMETHEUS_PORT=9464 memexd --foreground
curl http://localhost:9464/metrics | headThe --metrics-port <N> CLI flag is a shortcut that forces
enabled=true and overrides the port. See
docs/observability/prometheus-scrape-example.yaml for a
scrape_configs snippet and
docs/observability/memexd-telemetry-dashboard.json for a Grafana 10
dashboard.
OTLP traces (push)
#[tracing::instrument] spans on the queue processor, watcher, gRPC,
embedding, and Qdrant paths are exported over OTLP/gRPC when:
observability:
telemetry:
service_name: memexd
otlp:
enabled: true
endpoint: http://collector.example:4317
protocol: grpc # http/protobuf is also recognized (logs a warning)
sample_rate: 0.1Standard OpenTelemetry env vars are honored: OTEL_SERVICE_NAME,
OTEL_EXPORTER_OTLP_ENDPOINT, OTEL_EXPORTER_OTLP_PROTOCOL,
OTEL_EXPORTER_OTLP_HEADERS, OTEL_TRACES_SAMPLER_ARG.
OTLP metrics export is not currently implemented — Prometheus is the canonical metrics surface.
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 claude-qdrant-mcp
Maintenance
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ChrisGVE/workspace-qdrant-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server