OAuth-enabled dynamic client registration with automatic discovery and token-based authorization workflows for runtime provisioning.

Exemplo de Model Context Protocol (MCP)

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.

A lightweight, stateless HTTP interface that discovers, lists, and invokes tools via REST-like endpoints with JSON schemas.

Local file context provider for LLama, exposing files via REST with Ollama integration and interactive sessions.

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.

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

Deploy a scalable context protocol instance on Vercel leveraging Redis, Fluid Compute, and a TypeScript SDK for rapid customization.

Next.js-based integration showcasing a lightweight template with Redis-backed state, streaming via SSE, and Fluid Compute readiness for model-context workflows.

A lightweight, interoperable standard to manage and share model context across prompts and sessions with pluggable backends.

Real-time weather lookup for any city via Open-Meteo, delivering fast, structured JSON responses with TypeScript and MCP SDK.

Three-component framework enabling natural-language math with LLM-driven interpretation and modular tool orchestration.

Demonstrates fluid context sharing across models with client-integrated Gemini API, real-time routing, and modular tooling for seamless multi-part workflows.

A weather data tool delivering current conditions and 5-day forecasts for any city with Open-Meteo integration and interactive inspection.

MCP_Model_Context_Protocol_Course

Chat-driven bunq API integration delivering payments, invoices, and card operations with sandbox development workflow and production cautions.