Exercise: Integrate Model Context Protocol with GitHub Copilot

Java library implementing transports (stdio and Streamable HTTP) for the Model Context Protocol per 2025 spec, enabling interoperable component communication.

Exercise: Integrate Model Context Protocol with GitHub Copilot

A lightweight test harness validating Model Context Protocol flows and prompts.

Curated templates to standardize Model Context Protocol implementations, speeding scaffolding, schemas, and cross-project compatibility.

model context protocol library for zig

Pythonic SDK enabling seamless external tool integration with LLMs via MCP, highlighting reliability, modularity, and ergonomic workflows.

Unofficial PHP Model Context Protocol SDK

Testing Model Context Protocol MCP

Lightweight test area for experimenting with model context protocols using a config-driven workflow and mcphost.

Seamless Claude AI integration with desktop apps using MCP for real-time, context-aware automation and control.

Lightweight Python implementation enabling modular context exchanges with pluggable backends and low latency.

Python-powered mediator enabling modular cross-model context flows with extensible plugins for safe routing and streamlined AI workflows.

AI-powered natural language file operations with isolated workspaces, confidence scoring, and real-time actions.

Lightweight, async Python server for dynamic model context management and efficient orchestration.

Demonstrates practical integration patterns for context-aware tool orchestration and autonomous agent workflows.

Lightweight local note-taking assistant powered by Model Context Protocol with conversational add, read, summarize, and manage notes.

Model Context Protocol

Modular collection of diverse MCP agents enabling dynamic, context-aware AI workflows through a shared protocol, with pluggable runtimes and cross-agent orchestration.

Specification-driven JavaScript wrapper offering external AI services with source-first execution and multi-environment testability.

Unified, interoperable context management enabling dynamic, secure sharing and orchestration across AI components.

Client exposed ecosystem that shares tools and data with LLM apps using flexible transports and prompt templates.

a Model Context Protocol (MCP) tool that gives access to AIH prestashop stores and run some tasks like getting orders with filters, generating invoices.. and more

Template enabling modular agent collaboration via MCP and A2A, with local STDIO and remote HTTP transport for tool access and memory integration.