Packages

myssl-mcp-server is an MCP server (Go) that exposes tools to query MySSL-based domain/IP security information (domain_check) and to check MySSL service health (health_check), intended to be used by compatible AI clients via the MCP protocol using MySSL AccessKey/SecretKey credentials.

MCP server package (oris-mcp-server) intended to expose tools via the Model Context Protocol (MCP).

A community MCP (Model Context Protocol) server package (owlt-mcp-server) intended to expose a set of tools/resources to MCP-capable AI agents.

plex-meta-manager is an automation tool for managing Plex metadata (e.g., syncing and applying metadata such as posters, collections, and related assets) using external sources/agents. It is typically run by self-hosters against their Plex Media Server/library configuration.

A Claude Code skill/plugin that applies recursive decomposition strategies (filtering, chunking, parallel sub-agenting, verification, and synthesis) to improve handling of long-context tasks such as multi-file codebase analysis and multi-document aggregation.

A Docker-compose demo microservices platform (Orders, Payments, Incidents, and an AI Assistant) where Spring Boot REST APIs persist business data and are exposed to AI agents via Model Context Protocol (MCP) servers, configured for use in tools like VS Code MCP integration.

Archived MCP server that provided a standardized interface for LLMs to interact with the Atla API for LLMJ evaluation. The Atla API is no longer active (archived July 21, 2025).

A Python educational skill/repository that teaches common LangGraph patterns for building stateful, tool-using, multi-step AI agents (including persistence/memory, human-in-the-loop, and multi-agent workflows), with a focus on agent “Agent Skill Standard” packaging and deployment guidance.

An MCP server “bridge” that exposes multiple developer/DevOps capabilities—such as Azure DevOps work items and WIQL, GitHub repository/PR workflows and file access, and Slack communication—through a unified Model Context Protocol interface. It also describes an “agents-in-agents” feature where the MCP tool can create/manipulate nested agents (e.g., via Docker and a browser).

pdf2png-mcp-server provides an MCP (Model Context Protocol) server that converts PDF pages into PNG images for use by AI agents/tools.

An MCP server package intended to expose Qoder-related functionality to AI agents via the Model Context Protocol (MCP).

ragflow-retrieval-mcp-server is an MCP (Model Context Protocol) server intended to provide retrieval capabilities (e.g., querying a RAG/knowledge base) to AI agents via MCP tools.

This repository is a collection of Model Context Protocol (MCP) servers related to Solargis, including a “Solargis Documentation MCP Server” that provides access to the latest Solargis documentation.

sql-mcp-server is an MCP (Model Context Protocol) server that exposes SQL/database-related capabilities to AI agents via MCP tools. It is intended to let an agent discover available SQL operations and execute queries/commands against a configured database (exact capabilities depend on its tool definitions).

ZeroClaw is a local-first, single-binary Rust personal AI assistant you run on your own devices. It provides a gateway/control plane with a web dashboard to manage an always-on assistant that can connect to multiple chat/communication channels (e.g., WhatsApp/Telegram/Slack/Discord/Signal/Email/Matrix/IRC/etc.), integrate with hardware peripherals (e.g., ESP32/STM32/Arduino/Raspberry Pi GPIO), and run autonomous/"hands" workflows, SOPs, and tools (including mentions of MCP and many integrations).

MCP server integration layer intended to expose AWS-related capabilities to an MCP-capable agent/runtime (e.g., for listing/querying AWS resources and/or performing AWS actions) via the Model Context Protocol.

Certbot is an ACME client used to obtain and renew TLS/SSL certificates from certificate authorities (commonly Let’s Encrypt) and configure/validate domains via supported plugins (e.g., webserver or standalone modes).

A self-hosted Retrieval-Augmented Generation (RAG) backend that exposes a FastAPI service for semantic search over user-provided documents. It chunks documents, creates embeddings via OpenAI, stores/query them in a chosen vector database provider, and serves query/upsert/delete endpoints intended to be used as a ChatGPT Retrieval Plugin backend (and for custom GPT actions/function calling).

Claude Ads is a Claude Code skill that audits and helps optimize paid advertising accounts. It runs multi-platform and single-platform checks (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft/Bing, Apple Search Ads) using exported/pasted data, producing a prioritized action plan and an Ads Health Score. It also provides industry templates and strategic planning commands; live landing page analysis may use Playwright.

Deep Lake is an AI data runtime/database implemented as a Python package and storage format for deep-learning workloads. It stores multimodal data (text, images, audio, video, etc.) alongside vectors/embeddings, supports streaming to ML frameworks (e.g., PyTorch/TensorFlow), and provides dataset versioning/lineage with integrations to common AI tooling (e.g., LangChain, LlamaIndex, W&B).