"CTS" matching MCP servers:

Implements a distributed AI worker pattern over MCP, enabling clients to register as workers, poll for tasks, process prompts with AI, and submit results back to the server continuously.

Centralizes multi-agent team workflows, providing Kanban, audit timeline, scorecards, and event hooks, integrated natively with Hermes Dashboard via the Model Context Protocol.

Aggregates tools from multiple MCP servers, generates TypeScript definitions, and executes custom TypeScript scripts to orchestrate cross-server tool calls.

A local stdio MCP service that unifies coding agents like Codex and Claude into cs_agent_* tools, enabling the root agent to create, invoke, and manage child agents with recursive delegation.

Enables Grok Bot Chiefs of Staff on separate user accounts to pair with owner approval, exchange addressed task proposals and availability windows, manage asymmetric capability grants, and revoke access through a hosted mailbox service. It runs as a standard MCP stdio client that authenticates with an owner's agent credential and supports contacts listing, message submission, cursor-based inbox polling, and idempotent retries.

Enables interaction with the RunPod REST API to manage GPU pods, serverless endpoints, templates, network volumes, and container registry authentications through natural language.

A Model Context Protocol server that connects your personal WhatsApp account to AI agents like Claude, enabling them to search messages, view contacts, retrieve chat history, and send messages via WhatsApp.

A ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.

Enables ChatGPT to invoke native OpenClaw browser operations directly through an MCP connection, forwarding actions to the local Gateway while preserving runtime errors and providing a local call monitor.

Enables persistent, portable memory for AI agents across sessions, devices, and providers with token-efficient 5-level lazy loading and automatic session capture.

A lightweight MCP server that enables Cursor Agents to interact with the WorkOS API, providing access to WorkOS functionality directly from within the editor.

A TypeScript implementation of the MCP Agent framework, providing tools for building context-aware agents with advanced workflow management, logging, and execution capabilities.

MCP server exposing specialized AI agents (CEO, CTO, Designer, Sales, Marketing, QA) that collaborate through an intelligent orchestrator for business strategy, technology, design, sales, marketing, and quality tasks.