"Modal" matching MCP servers:

A multi-modal user intent collection MCP server that allows AI agents to ask users questions and receive text/image replies.

Enables comprehensive travel and hospitality operations including parallel hotel price comparison, restaurant discovery and reservations, multi-modal transit directions, and cross-platform place reviews.

A FastMCP server that turns JSON data into Plotly figures, deployable as an isolated service on Modal. Data goes in as JSON; a validated Plotly figure (JSON) or a rendered PNG comes back over the Model Context Protocol.

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.

Runs a task through 3 parallel AI models (China or USA preset) and returns concise responses for Claude to synthesize.

Provides tools for file system operations and text generation using OpenAI-compatible models via the Model Context Protocol, supporting both stdio and HTTP transports.