GitHub-backed Model Context Protocol operations enabling repository search, content retrieval, and file updates.

Bridge the Model Context Protocol with Copilot to deliver context-aware code suggestions, share model context across tools, and streamline AI-assisted workflows with lightweight, JavaScript-friendly adapters.

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

A demo project for MCP (Model Context Protocol)

No published documentation; placeholder Tektrio MCP server awaiting features and usage details.

Lightweight TypeScript module with pluggable context adapters enabling dynamic, protocol-compliant model interactions.

Exposes Justfile recipes as executable tools with JSON-driven metadata, stdout/stderr capture, and safe auto-approved automation for agents.

A standardized protocol that lets AI understand development context and integrate with tools and GitHub.

Exercise: Integrate Model Context Protocol with GitHub Copilot

Lightweight scaffolding and code generation tool for model context workflows, promoting reuse, type safety, and rapid setup.

ReAct-style agent demonstrating standardized integration between LLMs and external tools via a universal connector.

Bridge Copilot with the Model Context Protocol to deliver richer context-aware code suggestions and streamlined developer workflows.

Exercise: Integrate Model Context Protocol with GitHub Copilot

Autonomous AI agent system delivering dynamic context retrieval, task decomposition, and secure collaboration to accelerate development workflows.

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Lightweight, extensible framework enabling modular model-context orchestration with pluggable transports and simple integration points.

Exercise: Integrate Model Context Protocol with GitHub Copilot

TypeScript-based Codescan integration providing project listings, metrics, and filtered issues via a unified interface with Docker-ready deployment.

Context-sharing solution focused on work/task contexts, enabling context-aware assistants and streamlined protocol integration.

Model Context Protocol server repository

Lightweight Python adapter bridging clients with the Model Context Protocol, streamlining context management and cross-service integration.

Python client with environment-based configuration, automatic virtual environment management using uv, and robust tool discovery/invocation plus session reuse.