TypeScript-based sandboxed execution environment enabling secure model-driven task execution with modular adapters.

Bridge LLMs with MCP ecosystem via a unified API, enabling multi-server tool orchestration and secure, real-world capabilities.

Standardized approach to optimize LLM context usage with dynamic windowing, context-aware prompting, and adaptive prioritization for efficient multi-model interactions.

Dice rolling utility for API integrations, supporting any-sided dice, multi-die rolls, and automatic total calculation.

Executes Windows CMD commands with validation and sanitized outputs, enabling Claude to automate local shell tasks securely.

Forked, lightweight shell interface enabling local prototyping, scriptable commands, and flexible context interactions for rapid workflow testing.

Claude MCP focused on automated citation vetting, ensuring source accuracy and provenance in outputs.

mcp client server

Windows-native Claude integration via MCP enabling local AI workflows with streamlined context handling and plug-and-play support.

Unified Node and Python package handling with whitelist security, VENV, and cross-platform initialization

Windows-based Claude integration enabling local context routing and streamlined AI workflows, with documentation unavailable.

Unified MCP server framework delivering scalable model context with pluggable backends, caching, and secure negotiation.

Experimental Python Skeleton for MCP

Rust-based, modular context management framework with pluggable extensions and high-concurrency networking.

Haskell-first SDK delivering a type-safe MCP server foundation with plugin extensibility and modular context management for flexible integrations.

Lightweight fetch-oriented adapter enabling remote context retrieval with caching and pluggable backends for seamless data delivery.

Training-focused Model Context Protocol variant designed for business workflows and structured tool usage.

Lightweight Python helper for Model Context Protocol integration, offering quick setup, templated configurations, and debugging aids. It emphasizes practical, developer-friendly workflows by providing sample configurations, streamlined build and publish steps, and seamless Inspector debugging to accelerate integration and testing within local Python projects.

Executes host shell commands via an MCP capability, returning stdout, stderr, and exit status for reliable automation.

Lightweight Notion-focused prompt tool enabling page queries and automated data updates via Claude integration.

AI-powered, pattern-based text editing with safety checks and content verification.

Memory-backed context retention with flexible backends, privacy-aware storage, and rapid recall for long-running conversations.

A Python-based tool to scaffold, validate, and interact with model context protocol endpoints, emphasizing clean protocol handling and lightweight setup.

Protocol-level CLI enabling dynamic tool exploration across OpenAI and Ollama with interactive chat and multi-model workflows.