Skip to main content
Glama

Qdrant MCP Server

by steiner385
CHANGELOG.md1.35 kB
# Changelog All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). ## [Unreleased] ## [1.0.0] - 2025-06-29 ### Added - Initial release of Qdrant MCP Server - MCP protocol implementation for semantic code search - OpenAI embeddings support with text-embedding-3-small model - Background file indexing with automatic change detection - Support for multiple programming languages - Comprehensive documentation and examples - Dual distribution via npm and pip - Basic test suite - Systemd service configuration - Cost estimation and tracking features ### Features - Natural language code search queries - Incremental indexing for large codebases - Configurable file patterns and exclusions - Multiple embedding model support (OpenAI initially) - Batch processing for efficient API usage - Persistent vector storage in Qdrant ### Documentation - Complete installation and setup guide - API reference and examples - Background indexer documentation - Systemd setup instructions - Contributing guidelines [Unreleased]: https://github.com/steiner385/qdrant-mcp-server/compare/v1.0.0...HEAD [1.0.0]: https://github.com/steiner385/qdrant-mcp-server/releases/tag/v1.0.0

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/steiner385/qdrant-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server