A comprehensive TikTok Ads toolkit offering full campaign, creative, and analytics capabilities with standardized authentication, rate limiting, and strong typing.

CRM-driven data access with customer health, orders, and revenue analytics using artificial data for rapid demonstrations and safe experimentation.

Python-based domain knowledge expert delivering accurate, context-aware answers from structured knowledge sources.

Unified integration enabling Lucene and DataPrime queries with Claude Desktop, templates, context retrieval, and advanced log analytics.

Foundational Python toolkit for rapidly building AI-accessible context interfaces with reusable patterns and robust authentication.

Lightweight TypeScript sample demonstrating context-aware data integration with type-safe adapters and event-driven data flow.

Focused tool exposing .NET CLI and EF operations through a consistent interface for automated dev workflows and reproducible builds.

A demonstration project showcasing Model Context Protocol (MCP) server implementation

A compact MCP configuration bundle enabling rapid local testing, flexible context adapters, and seamless tooling integrations.

Scenario-driven host coordinating Model Context Protocol actors with dynamic scenario scripting and cross-environment orchestration. Pluggable backends and lifecycle management enable flexible experimentation.

Lightweight stdio-driven text tools suite offering reversal, word counting, and statistics for quick local tooling.

Lightweight Python tool for generating single or batch UUIDv7 strings via stdin/stdout, ideal for quick workflow integration and testing in development environments.

Python-powered interface bridging AWS Bedrock with MCP, offering a web chat, multi-model access, and MCP-formatted responses for streamlined integration.

An open, modular Claude-based integration enabling secure, scalable context sharing across plugins with extensible connectors and developer-friendly tooling.

Privacy-first, on-device context management for local AI agents with offline operation and persistent state.

Modular AI-driven crypto workflow with live trading, TA analytics, and news analysis via LangChain integration.

A collection of Awesome Projects leveraging Model Context Protocol

Secure, auditable GitHub automation harness using a standardized context for multi-step AI actions.

Model Context Protocol-compatible, stdio-based math demo with FastMCP for Python, enabling quick testing and learning.

Node.js package management with script execution, registry discovery, and secure auto-fix integrated for Claude-driven workflows.

Enables Claude to perform git operations—repositories, commits, branches, remotes, and history—through a Model Context Protocol integration.

My experiments with Anthropic's Model Context Protocol (MCP)

MCP (Model Context Protocol) server implementations and automation tools

MCP (Model Context Protocol) Server and tools for LinkedIn