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Showcases projects related to Anthropic's Model Context Protocol (MCP).
Provides comprehensive access to Escape From Tarkov game data via a Model Context Protocol server, utilizing the tarkov.dev GraphQL API.
Provides a Multi-Agent Conversation Protocol server for the HubAPI authentication API.
Enables natural language control of OpenStack cloud infrastructure by serving as a modern and stable Model Context Protocol (MCP) server.
Execute Python code in a secure, sandboxed environment for safe development and testing.
Enables LLMs to retrieve and process web page content, converting HTML into markdown for easier consumption.
Enables the deployment of a Model Context Protocol (MCP) server designed to deliver category-specific jokes and integrates it with Microsoft Copilot Studio.
Facilitates mathematical calculations and large language model interactions through a standardized Model Context Protocol interface.
Serve comprehensive, self-contained robotics information via a Model Context Protocol (MCP) server for AI assistants and developers.
Automate the transformation of markdown templates into both FastAPI endpoints and MCP tools, streamlining development workflows.
Secures processes with lightweight OS-level sandboxing, offering filesystem and network controls without containers.
Automatically manages development and testing environments by monitoring coding tasks and switching containerized setups to match.
Integrates Prometheus Alertmanager with Model Context Protocol (MCP) clients, enabling programmatic interaction and command execution.
Enables AI agents to verify their identity through cryptographic challenges without writing integration code.
Provides a Model Context Protocol (MCP) server for GitLab, enabling AI clients to interact with GitLab resources via streamable HTTP.
Manages feature flags for AI agents, allowing creation, checking, and overriding with role-based targeting.
Integrate QRZ.com callsign lookups, DXCC entity resolution, and logbook queries into AI assistants via the Model Context Protocol (MCP).
Facilitates interactive Windows debugging by wrapping CDB and KD behind the Model Context Protocol.
Transforms Figma designs into JSX-ready code by extracting design tokens and leveraging multi-provider LLM routing and modular prompt templates.
Provides AI agents with persistent knowledge storage, enabling them to store, retrieve, and search information across sessions.
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