Python client with environment-based configuration, automatic virtual environment management using uv, and robust tool discovery/invocation plus session reuse.

AI-enabled server enabling natural-language Todoist data management with tasks, projects, labels, and comments.

PoC demonstrating a lightweight MCP workflow with a Python Streamlit UI to prototype model context sharing, prompt orchestration, and basic LLM interactions for rapid experimentation. The project focuses on minimal, readable code and clear MCP concepts to help developers explore context-driven AI tooling without heavy infrastructure.

Model Context Protocol in Rust.

Extend Copilot Chat with MCP to inject dynamic context and tools, delivering modular adapters for richer, context-aware coding conversations.

Feature-rich, transport-flexible framework that lets LLMs access tools, data, and prompts via JSON-RPC with SSE and stdio transports.

Model Context Protocol Application

MCP, model context protocol

Lightweight MCP server enabling centralized context exchange with extensible adapters and secure, scalable API.

Model Context Protocol Example

model context protocol server

Standardized context sharing enables coordinated multi-agent workflows with dynamic routing and evolving prompts.

A lightweight, interoperable protocol using versioned schemas and pluggable backends for standardized model context exchange.

Model Context Protocol

Secure, context-aware Zoho Recruit integration with OAuth2, delta-sync, and structured data mappings for streamlined hiring workflows.

Lightweight, stateless inter-app messaging with minimal memory footprint and Fast MCP-inspired context transfer.

A modular MCP client enabling live weather streaming, sandboxed Python execution, and an interactive Streamlit UI for multimodal workflows.

Python-based framework emphasizing protocol-driven context routing and seamless model collaboration.

Demo repository for Model Context Protocol (MCP) integration

Model Context Protocol MCP

Extensible framework enabling efficient sharing, indexing, and orchestration of model contexts across AI agents.

Lightweight Python MCP PoC enabling structured context exchange with simple UV tooling.

MCP examples

A minimal PoC server showcasing versioned model context payloads and pluggable adapters for IPC between AI components.