MCP Clients

Build a local MCP server that turns files, images, and video into fast spatial search for AI agents using Gemini embeddings and ChromaDB

Debug AI agents in real time with Chrome DevTools to pause, inspect, and step through execution for faster issue resolution and control.

🗄️ Store and manage local JSON data for context engineering with GitHub Copilot and MCP clients efficiently.

Embed Google AI Studio in a desktop app and enable generated apps to interact securely with your local system through a JavaScript API.

Dream Chronicles is an AI-powered app that interprets dreams by transforming user descriptions into insightful text and audio results. It utilizes Anthropic Claude 3.5 for dream analysis and Google Te

Generate responsive, professional email templates using AI with brand memory, expert design, live preview, and easy editing in MCP-compatible clients.

Align teams on specs before AI writes code, so you review, plan, and build with less rework

Store persistent project memory for AI agents and MCP clients so they can resume work with context, decisions, and tasks intact

Explore 30+ AI agent frameworks to learn patterns, architectures, and source-backed implementation details for building better agents

Serve real-time and historical Indian stock data from NSE and BSE using Model Context Protocol for easy market analysis without API keys.

Provide reliable, repository-scoped memory for AI coding agents with code citations, just-in-time verification, and stale-proof data management.

Discover CLAUDE.md best practices for project-specific AI coding guidance, with ready-to-use templates for languages, frameworks, and real-world cases

MCP client for use by picoclaw and other crustaceans

Enable AI agents to process webhooks and RSS feeds using native MCP tools for streamlined, event-driven automation and data handling.

Aggregate multiple Ollama instances into a unified OpenAI-compatible API with load balancing, health checks, auto discovery, and web management.