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AI-powered MCP server for codebase navigation and LLM prompt optimization
- mcp-server
- typescript
- node.js
- qdrant
- ollama
- git
- codebase-analysis
- ai-coding
- vector-database
- npx
- vscode
- claude
- cursor
- zed
OpenAPI client for Qdrant
Qdrant module for Testcontainers
Qdrant vector search engine client library
Add markup for the search modal popup:
MCP server to search qdrant database
CLI tool to create modern Node.js projects with TypeScript, AI capabilities, and more
- cli
- node
- typescript
- javascript
- project
- generator
- template
- boilerplate
- scaffold
- starter
- ai
- artificial-intelligence
- llm
- langchain
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An MCP server for semantic documentation search and retrieval using vector databases to augment LLM capabilities.
A service hub for AI services
MCP server for enhanced Qdrant vector database functionality
An MCP server for semantic documentation search and retrieval using vector databases to augment LLM capabilities.
A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context.
An MCP server that scrapes websites, indexes content into Qdrant, and provides a query tool.
MCP server for hybrid search using Meilisearch and Qdrant
AI-powered MCP server for codebase navigation and LLM prompt optimization
Genkit AI framework plugin for the Qdrant vector database.
An MCP server for semantic documentation search and retrieval using vector databases to augment LLM capabilities.
Advanced Qdrant community node for n8n — full Qdrant HTTP API support with $fromAI expressions
Retrieval Augmented Generation (RAG) and local GPT (text generation LLM - large language models) toolkit for machine learning (ML) apps with node-red
- node-red
- machine learning
- ml
- text
- hugging face
- llm
- qdrant
- vectordb
- rag
- retrieval augmented generation
- bm42
- mmr
A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context.