Lightweight, extensible approach to retrieval-augmented reasoning with dynamic tool orchestration and context management, differentiating through policy-driven use and transparent context mutations.

Lightweight MuleSoft MCP test harness for local model-context simulation and validation.

model context protocol library for zig

DuckDB-backed SQL gateway with in-memory, local file, and cloud options, plus Claude Desktop integration for seamless Windows access.

Lightweight protocol-based toolkit exposing arithmetic and weather tools with a client-component, focusing on tool discovery and execution across modules.

Model Context Protocol Proof of Concept

Arxiv data integration with tool-driven querying and local storage for streamlined research workflows.

Pythonic SDK enabling seamless external tool integration with LLMs via MCP, highlighting reliability, modularity, and ergonomic workflows.

Unofficial PHP Model Context Protocol SDK

Learning-focused Python collection showing weather data and educational patterns with multi-transport options.

Open, vendor-agnostic data context interface with plug-and-play integrations and secure data handling, featuring low-level SDK and high-level FastMCP.

LangGraph-powered orchestration for Azure resources with Cosmos DB, memory management, and REST APIs enabling natural language access to data.

Testing Model Context Protocol MCP

Lightweight test area for experimenting with model context protocols using a config-driven workflow and mcphost.

Experiments with Model Context Protocol

MCP (Model Context Protocol) projesi

A modular, Dockerized system coordinating specialized agents via A2A protocol and tool-enabled integration for drafting, research, and cloud publication.

Seamless Claude AI integration with desktop apps using MCP for real-time, context-aware automation and control.

Lightweight Python implementation enabling modular context exchanges with pluggable backends and low latency.

A Python library for modular MCP servers and adapters to manage model context across AI workflows.

Python-powered mediator enabling modular cross-model context flows with extensible plugins for safe routing and streamlined AI workflows.

Retail Model Context Protocol

Python-based MCP samples showcasing practical context handling, memory integration, and dynamic prompt orchestration.

Deploying Model Context Protocol Servers on AWS