ChrisGVE/workspace-qdrant-mcp

v0.1.3 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 1mo MCP Developer Tools

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✓ No known CVEs patched

Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai-tools asyncio claude-code claude-desktop cli document-management

+12 more

embeddings fastmcp hybrid-search mcp mcp-server model-context-protocol pydantic qdrant search semantic-search vector-db workspace

Summary

AI summary

Binaries now include statically linked ONNX Runtime with no external dependencies required.

Full changelog

Self-Contained Binaries

All binaries include ONNX Runtime statically linked - no external dependencies required.

Each archive includes LICENSE and THIRD-PARTY-LICENSES.md with full attribution for all third-party dependencies.

Quick Install

# Linux/macOS
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

Manual Download

Choose the appropriate archive for your platform:

darwin-arm64 - macOS Apple Silicon (M1/M2/M3)
darwin-x64 - macOS Intel
linux-x64 - Linux x86_64
linux-arm64 - Linux ARM64
windows-x64 - Windows x86_64
windows-arm64 - Windows ARM64

Native Node.js Addon

Pre-built wqm-common-node addons are included for macOS and Linux platforms.
Place the .node file in src/rust/common-node/ for the MCP server to use.

Full Changelog: https://github.com/ChrisGVE/workspace-qdrant-mcp/compare/v0.1.2...v0.1.3

View diff on GitHub

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About ChrisGVE/workspace-qdrant-mcp

Project-scoped semantic workspace memory for AI coding assistants. Watches your project files, auto-indexes code and docs into Qdrant with tree-sitter semantic chunking, LSP integration, and hybrid search (dense + sparse + RRF). 6 MCP tools: store, search, retrieve, grep, list, rules. **Alpha** — testers and feedback welcome.

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