A Python-based collection of hands-on samples to prototype and explore context-driven interactions using the Model Context Protocol. It provides approachable setups and templates to demonstrate negotiation, metadata exchange, and dynamic routing in practical scenarios.

all experiments using MCP(Model Context Protocol)

TypeScript examples showcasing data exposure via resources, actions through tools, and prompts-driven interactions for LLM workflows with StandardIO and SSE.

Unified Hopsworks integration enabling LLMs to access feature stores, datasets, model lifecycle, and data operations with secure authentication.

Hello world MCP (Model Context Protocol) project.

Dataverse integration enabling CRUD, advanced OData queries, metadata discovery, and secure OAuth authentication.

Implementación de Model Context Protocol Servers

Demo project for Model Context Protocol

Exemplo de Model Context Protocol (MCP)

MCP (Model Context Protocol) 项目

Provides a view into DNC data for agents with planned read-only SQL access, data dictionary, and Ollama-based testing to empower agents.

Model Context Protocol (MCP) with gemini model

Lightweight TypeScript sample with strict typing, modular handlers, and clear protocol framing for easy extension.

A minimal, extensible MCP server skeleton demonstrating handshake, command handling, and rapid prototyping.

Proof-of-concept framework for managing multiple contexts and memory in LLM interactions, enabling efficient context switching and persistent state.

Compact ledger system enabling double-entry accounting with ledger creation, transaction recording, and P&L reporting via Python SDK and SQLite backend.

Lightweight, extensible host enabling dynamic inference contexts with secure, pluggable integrations and Python-based customization.

Kotlin-based toolkit integrating IPFS storage with MCP server workflows, featuring a secure IPFS wrapper and extensible APIs for protocol-driven data management.

Lightweight MCP issues tracker and toolkit for documenting, discussing, and resolving Model Context Protocol challenges with clear, searchable formatting.

Prototype delivering contextual weather data from sensors and APIs, enabling agents to access forecasts and conditions with extensible data sources.

Bootstraps a modern development workflow with uv and Gradio, enabling automatic tool generation, API discovery, and streamlined file handling for rapid testing. By combining a fast project manager with a GUI-oriented interface, it simplifies tool exposure, schema inspection, and local testing while preserving clean dependency isolation.

A compact MCP demo showcasing tool orchestration for weather, stock, and math queries via Python and Streamlit.

Lightweight Python MCP client emphasizing modularity, extensibility, and faithful protocol handling with simple integration.

model context protocol mcp with next js