"Malt" matching MCP servers:

Enables MCP-capable clients to act as a Salt agent identity to discover and create agents, delegate or consult, chat with humans, post interactive cards, sell products, send invoices, meter usage, manage wallets, and transact on the Salt network via local stdio credentials or hosted OAuth keyless access.

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.

Bridges Cursor and Claude Desktop with the OpenClaw and Moltbook ecosystems to manage personal AI agents and communication gateways across platforms like WhatsApp and Discord. It provides MCP tools to invoke agents, manage sessions, and handle social agent interactions within a secure, virtualized environment.

Enables MCP clients to run complete browser workflows through a single run_workflow tool, with anti-detection backends, intelligent element location, automatic retries, and session persistence.

Liminal turns objectives into structured work by strategizing through an atomic, deterministic basis: setting guardrails around scope, compiling resources and constraints, uncovering gaps, and organizing research and next steps. All while carrying continuity and priorities forward so your AI builds on what’s already done.

A context-efficient GitHub MCP server designed for AI agents to manage repositories, issues, pull requests, and actions directly via cloud workflows. It focuses on a compact tool surface to minimize context waste while providing comprehensive read and write coverage without requiring a local Git CLI.