A lightweight stdio-only MCP server that allows AI agents to run multiple tasks (e.g., Python code, HTTP requests, shell commands) in parallel or with dependencies, returning structured results in a single call.
An MCP server that queries a panel of LLMs from different providers via OpenRouter and returns their answers side by side, optionally synthesizing them to highlight disagreements.
Local MCP server that exposes fixed tools for GPT, Claude, and Gemini while routing to any OpenAI-compatible chat completions backend with independent configuration per target.
Multi-cloud MCP server that exposes cloud AI models as tools for AI CLI agents, supporting streaming, conversation history, parallel multi-model queries, and dynamic model discovery.
An MCP server that orchestrates parallel Claude agent sessions by decomposing natural-language tasks into contract-bound tenants with structured outputs and validation, all running over stdio.
An MCP server that exposes tools for sub-agent style reasoning across multiple LLM providers, enabling delegation of prompts to various models and running critique loops, debates, red-teaming, and answer ranking.
