Skip to main content
AllMCPs
BrowseBestCategoriesStackCompareToolsGuidesBlog
Log in Submit MCP

Stay in the loop

Get new MCP servers and top picks in your inbox.

AllMCPs

The open directory for discovering and installing Model Context Protocol servers.

AllMCPs on GitHub (opens in a new tab)
Launched onTiny Startupstinystartups.com
Explore
  • Browse servers
  • Best MCP servers
  • Categories
  • MCP clients
  • Agent prompts
  • Stack Builder
  • Compare servers
  • Random discovery New
  • Submit a server
  • Pricing & Boost Boost
Learn
  • Guides hub
  • What is MCP?
  • Install guide
  • Build an MCP server
  • Deploy an MCP server
  • Security guide
  • Troubleshooting
  • MCP for SEO & AEO
  • Protocol versioning
  • Blog & updates
Tools
  • All developer tools
  • Config generator
  • Config validator
  • Config auditor
  • MCP playground
  • Token calculator
  • OpenAPI β†’ MCP
  • Badge generator
For agents
  • REST API docs
  • Trust & traffic Live
  • Remote MCP server SSE β†— (opens in a new tab)
  • llms.txt β†— (opens in a new tab)
  • Catalog JSON β†— (opens in a new tab)
Company
  • About
  • Advertise Sponsor
  • Contact
  • GitHub β†— (opens in a new tab)
  • Terms
  • Privacy
AllMCPs VerifiedAllMCPs VerifiedFeatured on Nick LaunchesFeatured on Nick LaunchesLaunch Llama NewsletterLaunch Llama NewsletterVerified DR - allmcps.comVerified DR - allmcps.comFeatured on SaaSGrowFeatured on SaaSGrowFeatured on Twelve ToolsFeatured on Twelve ToolsFeatured on Saaspa.geFeatured on Saaspa.geFeatured on Findly.toolsFeatured on Findly.toolsFeatured on Startup FameFeatured on Startup FameFeatured on LaunchKiwiFeatured on LaunchKiwiFeatured on ScrollLaunchFeatured on ScrollLaunchFeatured on DailyPingsFeatured on DailyPingsFazier badgeFazier badgeFeatured on NewTool.siteFeatured on NewTool.siteFeatured on saasfame.comFeatured on saasfame.comDR Checker - Domain RatingDR Checker - Domain RatingListed on Turbo0Listed on Turbo0Launched on LaunchBoard - Product Launch PlatformLaunched on LaunchBoard - Product Launch PlatformList on SimilarlabsList on Similarlabshttps://codetrendy.comhttps://codetrendy.comListed on DevTool.ioFeatured on BuildlistFeatured on BuildlistLaunched on Tiny StartupsFeatured on ShowMeBestAIFeatured on ShowMeBestAIFind us on LaunchZoneFind us on LaunchZoneAllMCPs VerifiedAllMCPs VerifiedFeatured on Nick LaunchesFeatured on Nick LaunchesLaunch Llama NewsletterLaunch Llama NewsletterVerified DR - allmcps.comVerified DR - allmcps.comFeatured on SaaSGrowFeatured on SaaSGrowFeatured on Twelve ToolsFeatured on Twelve ToolsFeatured on Saaspa.geFeatured on Saaspa.geFeatured on Findly.toolsFeatured on Findly.toolsFeatured on Startup FameFeatured on Startup FameFeatured on LaunchKiwiFeatured on LaunchKiwiFeatured on ScrollLaunchFeatured on ScrollLaunchFeatured on DailyPingsFeatured on DailyPingsFazier badgeFazier badgeFeatured on NewTool.siteFeatured on NewTool.siteFeatured on saasfame.comFeatured on saasfame.comDR Checker - Domain RatingDR Checker - Domain RatingListed on Turbo0Listed on Turbo0Launched on LaunchBoard - Product Launch PlatformLaunched on LaunchBoard - Product Launch PlatformList on SimilarlabsList on Similarlabshttps://codetrendy.comhttps://codetrendy.comListed on DevTool.ioFeatured on BuildlistFeatured on BuildlistLaunched on Tiny StartupsFeatured on ShowMeBestAIFeatured on ShowMeBestAIFind us on LaunchZoneFind us on LaunchZone
Β© 2026 Jackalope Digital LLC. All rights reserved.
  1. Home
  2. 🧠 Knowledge & Memory
  3. Workspace Qdrant MCP
Workspace Qdrant MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 2:33:01 PM

Workspace Qdrant MCP

User RatingsBe the first to rate and review this MCP server!
View Repository3 GitHub StarsTotal stargazers on GitHub for the source repository (3 stars).Visit Website
knowledge-managementqdrantsemantic-searchcoding-assistantmemory

Project-scoped workspace memory that indexes code and docs in Qdrant for hybrid search and persistent AI assistant context.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for ChrisGVE/workspace-qdrant-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Tool Schemas (6) Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

This MCP server watches project files and indexes code and documentation into Qdrant using semantic chunking, embeddings, and keyword search. It detects Git projects and supports project-scoped retrieval, persistent rules, notes, file browsing, and exact text search. Use it when an AI coding assistant needs searchable context across development sessions.

Use cases

β€’Search indexed code and documentation with semantic or keyword queries
β€’Retrieve documents by identifier or metadata filters
β€’Store project notes, findings, and behavioral rules
β€’Inspect project files and folder structure
β€’Find exact substrings or regular expressions with FTS5

Key features

β€’Hybrid dense and sparse search with Reciprocal Rank Fusion
β€’Automatic Git project detection and project-scoped collections
β€’Tree-sitter semantic code chunking
β€’LSP integration for active projects
β€’Persistent rules and stored notes
β€’Background file monitoring with the memexd daemon

Capabilities & Tool Schemas (6) ~73 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Workspace Qdrant MCP.

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

Documentation Overview

workspace-qdrant-mcp

License: Apache 2.0 GitHub Release Glama Homebrew TypeScript Rust Qdrant

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 β€” 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 β€” cargo build --no-default-features --features sqlite

Install

Option 1: Homebrew (Recommended β€” macOS & Linux)

bash
brew install ChrisGVE/tap/workspace-qdrant
brew services start workspace-qdrant

Option 2: Pre-built Binaries

bash
# 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 | iex

Installs wqm, memexd, and workspace-qdrant-mcp to ~/.local/bin (Linux/macOS) or %LOCALAPPDATA%\wqm\bin (Windows).

Option 3: Build from Source

bash
git clone https://github.com/ChrisGVE/workspace-qdrant-mcp.git
cd workspace-qdrant-mcp
./install.sh

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):

config.json
{
  "mcpServers": {
    "workspace-qdrant-mcp": {
      "command": "workspace-qdrant-mcp",
      "env": {
        "QDRANT_URL": "http://localhost:6333"
      }
    }
  }
}

Claude Code:

Terminal
claude mcp add workspace-qdrant-mcp -- workspace-qdrant-mcp

Verify

bash
wqm --version
wqm status health

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:

markdown
## 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** β€” 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 β€” but always store new findings at the end.

**Collections and their purpose:**
- `projects` β€” indexed codebase; use `scope="project"` (current project) or `scope="all"` (across all projects)
- `libraries` β€” external reference docs, API specs, third-party documentation; add via `store` with `collection="libraries"` and search with `includeLibraries=true`
- `scratchpad` β€” analysis, design rationale, research transcripts, architectural insights; complements session handovers by building a growing, semantically searchable knowledge layer across sessions
- `rules` β€” persistent behavioral rules; load at session start via `rules` β†’ `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 β€” future sessions can retrieve the reasoning

### Sub-Agents

Sub-agents start with only the prompt you give them β€” 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 β€” 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 β€” 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** β€” 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

ToolPurpose
searchHybrid semantic + keyword search across indexed content
retrieveDirect document lookup by ID or metadata filter
rulesManage persistent behavioral rules
storeStore content, register projects, save notes
grepExact substring or regex search using FTS5
listList project files and folder structure

See MCP Tools Reference for parameters and examples.

Collections

CollectionPurposeIsolation
projectsProject code and documentationMulti-tenant by tenant_id
librariesReference documentation (books, papers, docs)Multi-tenant by library_name
rulesBehavioral rules and preferencesMulti-tenant by project_id
scratchpadTemporary working storagePer-session

CLI Reference

bash
# 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

Read the full README β†’View source on GitHub β†’

Related MCP Servers

View all in Knowledge & Memory View all alternatives
  • Scrivener MCP logoScrivener MCP

    Connect Scrivener 3 writing projects to Claude and other AI assistants. 47 tools for document management, writing analysis, semantic search, character/plot memory, and content enhancement. Progressive skill loading, relationship engine with HMS triplets, and JS fallback for offline semantic search. npm i -g scrivener-mcp

    🧠 Knowledge & Memory16 views
    Compare vs Scrivener MCP β†’
  • Basic Memory logoBasic Memory

    Persistent, local-first AI memory: a semantic knowledge graph of plain Markdown files that humans and LLMs both read and write. Works with any MCP client, with optional cloud sync and team workspaces.

    🧠 Knowledge & Memory2 views
    Compare vs Basic Memory β†’
  • Moxie Docs MCP logoMoxie Docs MCP
    β˜… Featured

    MCP & Agent Skills for Automated Documentation, and codebase conventions + context

    🧠 Knowledge & Memory21 views
    Compare vs Moxie Docs MCP β†’
  • Memora logoMemora

    Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management.

    🧠 Knowledge & Memory2 views
    Compare vs Memora β†’

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
3
Stargazers on the source repository.
Last commit
3d ago
Most recent push to the default branch.
Tools exposed
6
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Workspace Qdrant MCP

It uses Qdrant as the vector database and requires a running Qdrant instance, such as one started with Docker.

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:
Live Dynamic SVG PreviewWorkspace Qdrant MCP AllMCPs Directory Badge
Markdown (GitHub README)
[![AllMCPs](https://allmcps.com/api/badge/chrisgve-workspace-qdrant-mcp?style=directory)](https://allmcps.com/mcp/chrisgve-workspace-qdrant-mcp)
HTML Embed
<a href="https://allmcps.com/mcp/chrisgve-workspace-qdrant-mcp"><img src="https://allmcps.com/api/badge/chrisgve-workspace-qdrant-mcp?style=directory" alt="Workspace Qdrant MCP on AllMCPs" /></a>

Technical Specs & Signals

Category🧠Knowledge & Memory
PricingFree
More technical detailsExpand β–Ύ
AuthNo auth required
LicenseApache-2.0
ClientsClaude Desktop
Last updatedSep 8, 2026
10/10 checks healthy over the last 32d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars3
GitHub Star CountTotal stargazers on GitHub representing community popularity (3 stars).
Last commit3d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 8, 2026
53Quality signal: Good Β· 53/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

β˜… FeaturedMoxie Docs MCP logo

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server β†’

Own this project?

This directory is pre-filled from public sources. Claim via GitHub README, site badge, or DNS TXT to unlock edit access and the Official badge β€” proof is checked automatically, then reviewed by our team.

Free dofollow backlink: add your website and place the AllMCPs badge on it β€” no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 🧠 Knowledge & Memory β†’Best MCP servers for Memory & Knowledge β†’Alternatives to Workspace Qdrant MCP β†’Install in Claude DesktopInstall in CursorInstall in VS Code