MCP Servers

Provide a minimal MCP server implementation that enables LLM clients to connect and access example tools via HTTP or stdio transports. Facilitate integration with AI systems like Windsurf IDE and Claude by offering simple authentication and example tools such as greeting, version info, and system info. Extend the server easily by adding custom tools to enhance AI capabilities.

Enable question answering workflows with a simple agent setup. Facilitate automated responses to queries using predefined workflows. Streamline information retrieval and processing for end-users.

Validate and experiment with Model Context Protocol server implementations supporting multiple transport mechanisms. Run the server locally, with STDIO transport, or deploy it to AWS Lambda for scalable MCP integrations. Use the MCP Inspector for easy testing and debugging of MCP tools and workflows.

Provide a test implementation of the Model Context Protocol server to facilitate development and integration. Enable clients to interact with tools, resources, and prompts through a standardized JSON-RPC interface. Simplify testing and prototyping of MCP features in a controlled environment.

Provide a basic MCP server implementation for testing purposes. Enable interaction with tools, resources, and prompts in a controlled environment. Facilitate MCP protocol compliance verification and development.

MCP server that gives AI agents (Claude Code, Cursor, Windsurf) real interactive terminal sessions — REPLs, SSH, databases, Docker, and any interactive CLI with clean output via xterm-headless, smart completion detection, and 7-layer security. Install: npx -y mcp-interactive-terminal