NestJS-based protocol integration that standardizes context sharing with LLMs using Model Context Protocol, featuring lightweight setup and TypeScript-first tooling.

Protocol-driven framework enabling seamless model-context integration, dynamic context shaping, cross-model coordination, and extensible plugin ecosystems.

Describe what is MCP and examples of implementation

Dynamic, secure context sharing with real-time synchronization and multi-user collaboration across AI workflows.

Lightweight Python MCP server enabling modular context handling for LLMs with flexible routing and pluggable sources.

A protocol for standardized context sharing and negotiation across language model components.

Compact, extensible example persisting notes, exposing latest item, and summarizing content via prompts.

Distinct, modular server enabling deterministic, context-aware prompts and seamless tool integrations for scalable AI workflows.

A lightweight, protocol-agnostic framework enabling stable model-context interactions and modular prompt composition.

Model Context Protocol

Real-time stock quotes, profiles, and symbol search with Finnhub, enhanced by caching for efficient LLM access.

Model Context Protocol

Tool-driven AI chat enabling external actions like Twitter posting via a registered tool, with real-time communication and external API integration.

Public tool discovery with lazy authentication and a Canvas data proxy to fetch courses, assignments, discussions, and PDF text extraction.

Flask-based gateway enabling Spotify playback, volume, and playlist management with OAuth and command execution.

Lightweight, modular context platform enabling smooth actor communication and extensibility through plugins.

Bridge enabling AI assistants to access Onspring data via Model Context Protocol, supporting app discovery, records, queries, reports, and file retrieval.

Offers a standardized interface to manage CloudWatch Logs via AI assistants, supporting groups, streams, events, and Insights queries with optional read-only mode.

Fetches web pages through a Model Context Protocol bridge, converts them to Markdown for clean viewing in Zed, and exposes configuration for user agents and robots.txt handling to balance accessibility, privacy, and compliance across diverse sites. It also supports custom headers, caching hints, and graceful fallbacks when content is unavailable.

Exposes weather workflow as tools with SSE transport and a simple direct API, enabling conversational weather summaries via LLMs.

TypeScript-based integration gateway enabling PayPal payments, invoicing, subscriptions, and product management via a standardized interface.

Express-based integration enabling AI assistants to search Spotify data, fetch artists, tracks, and playlists with user authentication.

Model Context Protocol Servers written in different languages by me to use along with Claude, Cursor, and other apps

Node.js-based context provider using Git commit history as the knowledge source to enrich AI prompts and decisions.