mcp

AI-powered outreach automation for Auth0 with personalized messaging, web research, and CSV processing.

Lightweight, extensible client that integrates context into apps, enabling secure sharing, prompt orchestration, and modular, plugin-driven workflows.

Weather context provider with pluggable data sources and real-time updates for modular AI workflows.

Cross-platform MCP command executor with shell and direct modes, configurable working directory, and robust error reporting.

Python-based playground showcasing multi-backend patterns with an inspector and flexible run setups.

Go-native, high-concurrency context delivery with pluggable transports and strong typing for seamless integration.

JavaScript-based agent framework focused on modular context management and cross-component orchestration.

Launches MCP Inspector by generating a macOS app from a start script; requires Node.js and opens in Terminal.

Lightweight Claude MCP server with modular prompts and robust context handling for seamless integration.

AI-powered testing for Flask apps with automated test generation, accessibility checks, and Playwright integration.

No public README content available to determine distinctive features or usage of mcp2.5.

Python-based, async-first stack for modular context provisioning with plugin hooks, strong validation, and secure routing designed for scalable model workflows.

Python-based context-driven orchestration with modular plugins and secure routing for flexible AI tool integration.

Lightweight Python implementation featuring modular context handling, pluggable sources, and streamlined integration for diverse, ecosystem-friendly agent workflows.

Repository-focused context tools enable file listing, content retrieval, structural navigation, and semantic search to empower precise code reasoning.

Minecraft Server

A modular Python server implementing MCP 2.0.5 for scalable, cross-model context management and orchestration.

MCPE 2.0

Lightweight, extensible runtime for dynamic context management and tool orchestration across AI workflows.

Python-based MCP 2.0.5 with minimal docs; feature details and integrations are currently unspecified.

A lightweight Java framework enabling modular middleware and contextual routing for flexible protocol workflows.

Python-based, modular context framework enabling streaming updates, extensible plugins, and scalable knowledge integration for LLM workflows.

Lightweight, context-aware trigger tool with flexible integration and event-driven automation for Model Context Protocol workflows.