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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
MCP server to search qdrant database
🦛 CHONK your texts in TS with Chonkie!✨The no-nonsense lightweight and efficient chunking library.
MCP server for Morphik multimodal 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
- View more
An MCP server for semantic documentation search and retrieval using vector databases to augment LLM capabilities.
RAG (Retrieval Augmented Generation) library for MongoDB Vector Search
SPARC 2.0 - Autonomous Vector Coding Agent + MCP. SPARC 2.0, vectorized AI code analysis, is an intelligent coding agent framework built to automate and streamline software development. It combines secure execution environments, and version control into
- sparc
- ai
- artificial-intelligence
- code-analysis
- code-generation
- code-review
- code-quality
- agents
- bots
- automation
- software-development
- software-engineering
- programming
- coding
- View more
An MCP server that scrapes websites, indexes content into Qdrant, and provides a query tool.
MCP server for integrating Turso with LLMs
- mcp
- model-context-protocol
- turso
- database
- vector-search
- libsql
- sqlite
- sql
- llm
- ai
- vector-database
- embeddings
- similarity-search
Distance Comparison Preserving Encryption for secure searchable vector embeddings
- encryption
- vector-search
- vector-database
- searchable-encryption
- dcpe
- zero-trust
- client-side-encryption
- rag
- embeddings
- security
- llm
- privacy
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.
MCP Server for Totoy Document AI. Explain documents in simple, plain or detailed language and create Knowledge Bases from your documents in 19 languages.
- totoy
- mcp
- document-management
- simplification
- explanation
- summarization
- translation
- accessibility
- knowledge-bases
- vector-database
An MCP server for semantic documentation search and retrieval using vector databases to augment LLM capabilities.
A lightweight memory-based vector store with persistent storage support for both Node.js and browser environments. Efficiently store, retrieve, and search vector embeddings with minimal dependencies.
- vector
- vector-store
- similarity
- similarity-search
- embeddings
- vector-database
- memory
- text-search
- browser
- node
- lightweight
AI-powered MCP server for codebase navigation and LLM prompt optimization
A React UI component library for ChromaDB integration
The memory layer for Personalized AI in Typescript