Packages

An MCP server package for Portone/ThD (based on the package name) intended to expose Portone-related capabilities to MCP-compatible agents/tools.

Provides an MCP (Model Context Protocol) server that integrates AI assistants with Tripo for generating 3D assets from natural language and importing the results into Blender (currently focused on Tripo Blender Addon integration).

An MCP weather server that provides weather-related data/functions to AI agents via the Model Context Protocol, likely backed by an external weather provider API.

Spring Boot (deployed on AWS Lambda behind API Gateway) that exposes a REST API to interact with Amazon Bedrock models and leverages MCP-style tool use for tasks such as calculations, weather retrieval (via external weather API), and converting web pages to markdown; includes CDK/IAM provisioning.

http-server is a simple static HTTP server for serving files from a local directory (and optionally directory listings). It is typically used as a lightweight way to host a folder for development, testing, or quick demos.

A one-command installer for an “AI Marketing Hub” suite: clones/updates several Claude Code-related repos, installs their skills, and downloads a WordPress plugin (WP MCP Ultimate) for MCP-based WordPress abilities.

A small set of MCP server binaries (configured via stdio) that provide tools for specific tasks: text-to-SQL against a MySQL database, retrieving from a Dify knowledge base/dataset, and performing data conversion via a separate command.

Provides an MCP server offering “Weather MCP” and “Stock” tools via a local SSE endpoint (example: http://127.0.0.1:8080/sse). Weather and stock examples are shown in the README output format (city/conditions; real-time stock quote details).

metrics-server is a Kubernetes component that aggregates resource usage metrics (typically CPU/memory) from kubelets and exposes them to the Kubernetes API (for use by components like kubectl top and Horizontal Pod Autoscaler).

mlflow-server refers to running MLflow’s tracking server (typically MLflow Tracking + optional artifact store integration). It provides HTTP endpoints for creating and managing experiments, runs, metrics, parameters, and artifacts.

nodejs-http-server is a Node.js library/package intended to help start an HTTP server (generic web server scaffolding/utility). Without the repository README/package manifest content, details about routes, configuration options, middleware, and error behavior cannot be verified.

An MCP server package intended to help agents download or process PDFs from provided inputs/URLs (based on the name pdfitdown-mcp-server and MCP-server naming). The provided prompt includes no README/repo details, so the exact capabilities, inputs/outputs, and tool names cannot be verified from source text.

An MCP server intended to help an agent manipulate PDF documents (e.g., extract text/metadata and transform or re-render PDFs) via MCP tool calls.

CLI/Agent Skills-compatible tool that transforms vague prompts into structured, expert-level prompts using a set of research-backed prompt frameworks, optionally asking clarifying questions and iteratively refining with before/after comparisons.

RamiBot is a self-hosted, local-first AI security operations chat application that integrates multiple LLM providers with an MCP-powered security-tool pipeline. It runs security tooling inside Docker (including a dedicated rami-kali MCP server), supports Tor proxy routing, maintains local SQLite conversation/history, gates tool execution with a human-in-the-loop approval step, and enforces evidence-locked reporting to reduce fabricated findings.

A Java/Spring Boot integration that auto-exposes Spring REST controller endpoints as Model Context Protocol (MCP) tools, mounted into the app (SSE endpoint at /sse).

An MCP server package intended to expose some set of tools to AI agents via the Model Context Protocol (MCP).

An MCP server package intended to expose “security” related capabilities to an AI agent via the Model Context Protocol (MCP).

A small MCP-focused service/package intended to provide time-related functionality (e.g., returning the current server time) to AI agents via an MCP server interface. Exact capabilities, tool names, and transport details are not provided in the prompt content.

A Model Context Protocol (MCP) server intended to integrate with Upcloud APIs to expose tools for retrieving information about Upcloud account, managed databases, servers, and Kubernetes resources.