"Red" matching MCP servers:

A multi-agent collaboration platform that provides access to over 1,500 models from 68 providers via the Model Context Protocol. It enables users to assemble and coordinate specialized AI teams using advanced orchestration modes like swarm, debate, and hierarchical workflows.

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.

Enables AI assistants to perform comprehensive Redis database operations including managing strings, hashes, lists, sets, sorted sets, TTL management, and data backup/restore. Supports secure connections and provides batch operations for efficient Redis interaction through natural language.

A quality-first multi-agent reasoning framework with fractal verification, adversarial red-teaming, and self-audit pipelines, providing deterministic MCP tools for complex analysis tasks.

Multi-agent orchestration server that enables parallel task delegation, sequential pipelines, cron scheduling, and cross-model peer review via CLI providers like Codex, Antigravity, OpenCode, and Claude Code.

Aggregates tools from multiple MCP servers, acting as a proxy to provide unified access to various AI agents and tools.

Domain-Driven MCP server for ed-tech workflows, exposing validated MCP tools backed by LangGraph agents, Supabase document retrieval, web search, and YouTube video discovery.

A central registry MCP server that routes requests to specialized AI services including embeddings, PDF extraction, reranking, vector search (Qdrant), PostgreSQL, LLM completions, markup, and transcription. Includes a proxy server with RAG pipeline for document processing and retrieval.

Connects Windows-based Codex to the Cursor Agent CLI in WSL, providing a run_cursor tool to execute tasks in specified working directories and resume sessions per directory.