"Max" matching MCP servers:

An MCP server that enables any AI agent to call Claude using your existing Max/Pro subscription via OAuth, avoiding additional API billing.

Connects AI assistants to AnswerRocket's Max AI platform, enabling access to Max copilots and their skills through the Model Context Protocol.

Enables two-model orchestration where Gemini in Google Antigravity delegates coding tasks to Qwen 3.8 Max in Qwen Studio Desktop via CDP, managing prompt delivery, file generation, continuation, and verification.

Find the most reliable AI agent for any task. Search 2,000+ agents across A2A and MCP with quality filters — min uptime, max latency, score thresholds. Check if an agent is alive before routing to it. Like Artificial Analysis, but for agent services.

Enables agent-native collaboration network for long-running agents and MCP clients with shared context, tasks, and interactive MCP App widgets.

Enables agents to compute shortest paths, topological orderings, maximum flow and minimum cut bottlenecks, minimum spanning trees, and centrality rankings for graph-based multi-agent routing. It runs as a zero-dependency MCP server using standard Python libraries.

Presents multiple stdio backend tool servers to an MCP client as one aggregated server, sharing those backend processes across concurrent agent sessions through a background broker while namespacing and routing each tool call to the right backend. Servers can be run shared, per-session, or lazily, with automatic restart and request ID remapping so many sessions coexist without collisions.

Provides an MCP server for macOS that allows agents to control a managed browser with accessibility-first actions, visible cursor, and screenshot return.

MCP server that lets an AI agent delegate tasks to Claude Code on a remote Mac via SSH over Tailscale. Persistent sessions, 200k context, full Mac filesystem access.

A dynamic MCP server orchestrator and multiplexer that routes requests to multiple remote and local sub-MCP servers, with hot-reload config, SSE/Streamable HTTP support, and a summary endpoint to reduce context token usage.

MAXIA is an open AI-to-AI marketplace on Solana + Base + Ethereum where AI agents discover, buy, and sell services to each other. Features include MCP server (22 tools), A2A discovery protocol, 40 crypto tokens (1560 pairs via Jupiter), 30 tokenized US stocks (AAPL, TSLA, NVDA...), GPU rental at cost price (8 tiers, RTX 4090 to H100), DeFi yield scanning, crypto sentiment analysis, rug pull

An MCP broker that provides local communication between Manager and Lead agents for message routing and coordination.

Enables AI agents to run with autonomous thermal/energy pacing, real-time threat interception, and AES-256-GCM encrypted state vaulting entirely in-process under 50 microseconds.

An advanced MCP server that implements sophisticated sequential thinking using a coordinated team of specialized AI agents (Planner, Researcher, Analyzer, Critic, Synthesizer) to deeply analyze problems and provide high-quality, structured reasoning.

A host-agnostic model council that routes tasks across multiple AI workers (MCP, CLI, API) and returns one unified answer.

MCP server that exposes a pool of Claude SDK agents as tools, enabling deterministic agent creation, retrieval, and resumption from a capability corpus.

A lightweight, zero-dependency Python MCP server that exposes a single do_everything tool. Any AI agent that supports MCP can use it to offload all language-model work to a local OpenAI-compatible endpoint, reducing cost on the agent's primary LLM.

Enables multiple MCP clients to share a single Chrome instance while maintaining isolated tab sessions for each client. It acts as a multiplexer between clients and the chrome-devtools-mcp server, preventing tab conflicts across different sessions like Claude Code windows.

Compute price oracle for AI agents. Compare inference pricing across OpenAI, Anthropic, and DePIN providers like Hyperbolic. Get routing recommendations that save up to 80% on compute costs.

A sample implementation of a Model Context Protocol server using Next.js and the Vercel MCP Adapter, allowing developers to create AI assistants with custom tools and resources.