Python-based context management for AI interactions, emphasizing extensibility and interoperability.

A lightweight protocol enabling model-context orchestration, secure prompt management, and seamless multi-model integration across tools.

Model Context Protocol

The code in this Repository is Push by the AI Model

Lightweight, extensible context protocol enabling structured context sharing and dynamic tool discovery for AI agents.

Compresses long contexts into compact tokens, enabling cross-model exchanges while filtering sensitive data.

ModelContextProtocol

Using MCP to connect to my stock broking account

ModelContextProtocol

Generates customizable, context-aware QR codes with a flexible data model for seamless app integrations.

📋 Comprehensive list of Model Context Protocol (MCP) servers for Claude and AI tools

Executes Sumo Logic queries, lists source categories and metrics, streams results, and validates syntax for efficient data exploration.

Centralized, searchable documentation with real code examples, troubleshooting guides, and validation utilities for AI assistants.

Windows-oriented tool enabling on-demand screen capture, OBS control, time-based prompts, and speech synthesis for automated streamer workflows.

AI-powered broadband customer support system using Model Context Protocol (MCP) with AWS integration

Full-featured Python MCP with multi-transport, resources, tools, and prompts exposure via JSON-RPC.

Educational, hands-on series showing practical MCP concepts through weather data tools and SQL integration.

JSON-RPC 2.0 compliant server enabling file CRUD, AI edits, folder uploads, and a frontend interface.

Lightweight Python toolkit exposing local utilities as tools via FastMCP, enabling rapid prototyping, inspector-driven testing, and flexible hosting with uv or pip.

Dual Gradio interface and OpenAlex access with expanded entities, advanced filtering, and analytics for researchers and AI agents.

Bridge Elasticsearch to MCP clients via a Python tool, enabling natural-language queries, indexing, and data exploration with easy setup.

Context-aware guitar recommendation tool that blends semantic search with user context to deliver tailored guitar picks.

Context-aware AI project manager with Gantt/Kanban visuals, enterprise integrations, and robust RBAC.

Rust-based starting point with minimal scaffolding to build custom Model Context Protocol services.