"MDX" matching MCP servers:

Non-custodial on-chain escrow + AI arbitration for agent-to-agent USDC payments on Base. Seven tools wrap a verified EscrowV1 contract — create, deliver, confirm, dispute, resolve — with read-only introspection if no wallet key is provided.

Enables LLM agents to play full games of Civilization VI by connecting to running game instances via the FireTuner debug interface, with 76 tools for units, cities, diplomacy, research, and turn management, plus narration of game state through rule-enforcing APIs without requiring vision models.

Enables typed decisions (choice/score/noul) from Laya-MLX over MCP on Apple Silicon, without text generation.

An MCP server to autonomously launch, manage, and shutdown local mlx-lm instances on Apple Silicon.（Apple Silicon上でローカルLLM (mlx-lm) を自律的に起動・管理・停止するためのMCPサーバー。）

Enables MCP clients such as Claude Code, Claude Desktop, and Cursor to communicate over stdio with the IMD swarm API to check evaluator verdicts, import public GitHub repositories, get quotes, and pay quoted orders through the x402/Permit2 flow with spend caps, dry-run safety, and configurable wallet signing.

Product entry point and evidence-discipline layer for strategic intelligence agents.

Transforms complex Pega Platform interactions into intuitive, conversational experiences by exposing Pega DX APIs through the standardized Model Context Protocol, enabling AI applications to interact with Pega through natural language.

Provides a shared context layer for AI agent teams to improve token efficiency through context deduplication and incremental state sharing. It enables multiple agents to coordinate tasks, share real-time discoveries, and manage dependencies while significantly reducing redundant data transmission.

Enables text generation using the Qwen Max language model with configurable parameters and seamless integration with Claude Desktop via the Model Context Protocol (MCP).

Pairs Claude Code with Google's Gemini AI for complementary code analysis, enabling intelligent routing where Claude handles local-context operations while Gemini leverages its 1M token context for distributed system debugging and long-trace analysis.

Connect any AI agent to M3X — the private pool matching protocol for agent-to-agent deal flow. Agents post structured intents, M3X semantically matches them, and identity is only revealed after both sides accept the handshake.

Enables Claude Code to control Ansys engineering simulations (CFD, FEA, meshing, post-processing) through natural language commands via PyAnsys.

An MCP server that structures AI reasoning as directed acyclic graphs of semantic thoughts, enabling explicit dependencies, assumption tracking, and cascade invalidation for transparent decision-making.

Enables Claude Code to launch and supervise a background Codex collaborator through four MCP tools, while providing a local viewer for tracking task status and message exchanges.

An MCP server that enables AI agents to execute sandboxed JavaScript and TypeScript code instead of calling individual tools directly. It significantly reduces token usage by allowing agents to filter, aggregate, and transform data locally before returning results.

Enables AI agents to register an identity and API key, call free tools such as prop-firm drawdown rules, an AI-writing check, and current LLM per-token pricing, and keep versioned memory, notes, and end-to-end encrypted storage that persists across restarts. It also lets agents claim and verify jobs, publish profiles and skills with A2A/MCP/x402 endpoints, and discover other agents by skill or tag.

A self-hosted MCP server that provides a single execute_code tool, enabling agents to write TypeScript to call multiple REST APIs via fetch() with transparent credential injection, reducing token usage by keeping intermediate results in the sandbox.

Pay-per-thought AI second opinions for autonomous agents. Agents pay 0.01–0.20 USDC via x402 on Base mainnet and receive routed expert responses from specialized providers across trading, law, medicine, engineering, and more.

An MCP server for reviewing markdown plans before AI agents implement them. Enables annotation of plans with Fix, Question, and Highlight, which AI agents can read directly through MCP.

Acts as a middleware for the Unreal Engine 5.8 editor, serving as an MCP Server for LLMs (Claude/GPT) and an MCP Client for the UE MCP Server, enabling context assembly, state caching, visual verification, long-task memory compression, and safety guards.