"Kasa Smart" matching MCP servers:

An enhanced MCP server that fetches prompts from GitHub repositories with intelligent discovery, composition, and management features.

An MCP server for Claude Code that enables semantic search of past session transcripts and intelligent session forking, allowing users to find and resume from relevant previous conversations with full context.

Stores metadata for MCP servers and provides smart search capabilities, allowing users to find appropriate MCP servers for their queries and route requests to the most suitable server.

A smart, self-maintaining memory system for Claude Code that persists across machines using Postgres, with semantic recall, confidence-based self-healing, and background maintenance via dreaming.

Enables semantic search and knowledge graph exploration of Obsidian vaults using Smart Connections embeddings. Provides intelligent note discovery, similarity search, and connection mapping through natural language queries.

An MCP server that integrates the Brave Search API to provide both web and local search capabilities, with features like pagination, filtering, and smart fallbacks.

A read-only MCP server that enables semantic search of your Obsidian vault using Smart Connections embeddings, with path validation and security.

A smart proxy that aggregates multiple downstream MCP servers and enables natural language search for tools, allowing clients like Claude Desktop to discover and use tools through semantic queries.

Enables accessing and managing personal/team internal knowledge repository with tools for semantic search, smart search, document listing, and saving information for future recall.

Gives Claude Code read-only semantic search over an Obsidian vault by reading the embedding files the Smart Connections plugin already produces, so no API key or network is needed at query time and it works across the WSL/Windows boundary. Exposes tools for meaning-based note and block search with folder scoping, related-note discovery, note reading, and index health checks.

A local-first MCP server that enables semantic search over PDF and DOCX documents using structure-aware parsing and vector storage. It allows users to query their local knowledge base through Claude Code without cloud dependencies or GPU requirements.

A smart memory system for AI assistants that retrieves relevant memories using an entity graph, semantic tree, and focus buffer, with context budgeting.

Generates complex draw.io diagrams (tables, kanbans, GANTT) using a local 9B LLM with RAG, featuring a real-time dashboard and CI/CD pipeline.

Enables semantic search and related-note discovery across an Obsidian vault via MCP, providing RAG context blocks for natural language queries.

Enables Claude to perform semantic search across your Obsidian vault using Smart Connections vector database. Provides meaning-based search, related note discovery, and context retrieval for RAG queries instead of basic keyword matching.

Provides MCP tools for web scraping, including smart fetching, proxy rotation, and browser rendering to bypass anti-bot challenges and render JavaScript-heavy sites.

Provides persistent, decay-aware memory for AI applications by integrating the Smara Memory API through semantic search and Ebbinghaus forgetting curves. It enables tools to store, search, and manage long-term user context with importance-based ranking and automatic decay.

Jinni is a tool to efficiently provide Large Language Models the context of your projects. It gives a consolidated view of relevant project files complete with metadata, overcoming the limitations and inefficiencies of reading files one by one. The philosophy behind this tool is that LLM context wi

Enables AI assistants to interact with LightRAG knowledge graphs, supporting smart upsert for Obsidian vaults, semantic queries, and document/graph management.

Enables intelligent search and retrieval of Japanese legal statutes through the e-Gov API. Supports smart lookup of laws and articles with abbreviation recognition, batch processing, and multi-tier caching for high-performance legal research.