MCPfinder Server

Enables Large Language Models to interact with Beehiiv publications and posts via Model Context Protocol, offering tools to list publications, retrieve and create posts, and access full post content through Beehiiv API v2 integration.

Enables Large Language Models to interact with Astra DB through Model Context Protocol, providing tools for managing collections and records, executing bulk operations, and seamless integration with MCP clients.

Enables querying and analyzing CloudZero cloud cost data via Model Context Protocol, offering tools for billing insights, budget listing, and cost retrieval through seamless integration with Large Language Models.

Enables seamless creation of Model Context Protocol servers with Node In Layers, offering easy integration of models, tools, and CRUD operations through configurable layers for scalable and maintainable application architecture.

Lightweight Python server leveraging the Model Context Protocol to run, manage, and create multi-agent AI workflows with automatic YAML-based configuration, command-line flexibility, and seamless integration with Large Language Models and tools.