Rust-based implementation delivering safe, efficient context management and prompt routing for scalable LLM workflows.

Draw.io Model Context Protocol page

A provider-friendly MCP for Rule.io enabling standardized access to subscribers, tags, campaigns, fields, and automations with a Python client.

Agentic Chatbot using Model Context Protocol

A Python-based, lightweight, extensible context-aware backend tutorial with practical setup and integration patterns.

Context packing from files, real-time or GitHub-saved delegation to Gemini models, with Claude-friendly JSON and robust error handling.

Dart-based toolkit enabling interoperable AI tool interactions with Dart 3.9+, dual client components, cross-platform support, and streamlined integration for end-to-end workflows.

Model Context Protocol server repository

Lightweight Python adapter bridging clients with the Model Context Protocol, streamlining context management and cross-service integration.

Model Context Protocol -- MCP -- starter

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.

Python-based implementation delivering a clean, extensible context protocol with asynchronous handling and modular data models.

A learning kit featuring weather data demonstration, docker-based setup, and a quickstart client to explore model context protocol workflows.

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.

LLM, Model Context Protocol, Tools

Model Context Protocol Test Project

Model Context Protocol in Rust.

Provides programmatic AlphaFold predictions, UniProt summaries, and protein annotations via FastMCP for rapid research integration.

Ruby-based scaffolding for a context-aware protocol library, with test tooling and an easy release workflow.

Go-based MCP for Chalk projects enabling feature discovery, config access, log filtering, environment management, and apply workflows.

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

model context protocol server

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