Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Integrates Copilot with a model context protocol flow for guided coding exercises.

Emacs Lisp integration enabling in-editor context handling and lightweight IPC for AI-assisted workflow automation.

Working demos with MCP (Model Context Protocol)

AI-friendly Django best-practices docs with automatic content splitting and llms.txt indexing for rapid, precise retrieval.

Beginner-friendly system to organize papers, books, and media with notes, progress tracking, and AI-assisted linking to knowledge concepts.

A streamlined MCP server enabling Cursor integration to build, test, and document .NET projects with local library configs.

AI-powered search across Microsoft AutoGen documentation with versioned results, direct links, and intelligent fallback.

A .NET 9 service that aggregates multiple MCP servers, exposes unified protocol endpoints, and configures via appsettings or Kubernetes for scalable, observable tool orchestration.

Centralized proxy that aggregates multiple backends into a single interface with automatic discovery, namespace isolation, and built-in monitoring for robust integration.

Unified, template-driven, multi-format Markdown conversion with batch, parallel processing, and robust logging.

Delivers Oblique Strategies prompts across editions with keyword search and uvx-based deployment.

Advanced code context optimization using AST parsing, diff analysis, and import minimization to reduce token usage.

Java-based toolkit to measure client performance against Discovery Intech. It exposes multiple test modes, cost analytics, and ready-to-use benchmarks to validate latency, throughput, and cost efficiency in real-world scenarios. Supports STDIO, HTTP/SSE, and streamable HTTP for flexible inspection and integration.

Dual-mode bridge enabling local stdio use and web SSE for real-time REST-to-MCP conversion, with auto env loading and inspector guidance.

Automates GitLab workflows with AI assistance; creates branches, commits, pushes, and issues via GitLab API with flexible cloud or self-hosted setup.

Privacy-first MCP client leveraging a local Ollama backend for multi-server orchestration, smart tool handling, and complete MCP transport with strong typing.

Powerful CLI coordinating cross-editor model workflows with auto-discovery, validation, and cross-context orchestration.

GitLab integration toolkit leveraging the glab CLI to manage issues, merge requests, pipelines, and raw API access across GitLab instances.

Specializes in XSD handling: fetch, validate, and extract elements with robust parsing for seamless LLM integration.

Interactive CLI tool that streamlines cross-project Claude config modules with remote loading, live editing, and automatic backups, setting itself apart with smart merges and project-scoped configurations.

Zero-code, plugin-driven proxy wrapper enhances existing protocol ecosystems with AI summarization, hooks, and security features, without touching source code.

TypeScript bridge enabling LLMs to interact with REST endpoints using CRUD operations, multiple auth methods, and endpoint discovery.