Exercise: Integrate Model Context Protocol with GitHub Copilot

Sets up a server for proactive research, issue handling, and automated PR workflows via Copilot, enabling richer context and faster delivery.

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Extensible AI tool adapters enabling data fetching, API access, and processing for diverse client workflows with secure, scalable orchestration.

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

A focused, JavaScript-based exercise that uniquely couples Model Context Protocol with Copilot to enhance context-driven code generation and learning.

A Model Context Protocol server for Jetlag that exposes repo tooling like playbooks, roles, docs, and text file access.

Bitbucket integration for the Model Context Protocol.

GitHub API integration offering search, details, contents, and issue management with streamlined automation and developer-friendly tooling.

Flexible Model Context Protocol integration to read Datagroom data and empower LLM-driven reasoning with dataset metadata.

TypeScript implementation enabling modular context provisioning and request routing via Model Context Protocol.

Modular MCP server enabling easy tool registration, retrieval, and configurable tool metadata for Python projects.

Streamlit-based learning path creator that integrates video, docs, and notes for tailored study plans and real-time progress.

Dynamic tool invocation and context-aware planning for intelligent, multi-agent workflows with OpenAI integration.

Next.js sample with Vercel adapter, SSE transport, Redis streaming, and Fluid compute optimization for scalable context handling.

Two-context demo with journey and news domains, configurable OpenAI backend via env vars, using ports 8000 and 8001.

A modular host-client-server framework coordinating AI resources through JSON-RPC, enabling specialized, external service integration and dynamic resource orchestration.

Model Context Protocol