"DTS" 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.

The kernel that doesn't believe the agents — a domain-free trust substrate for fleets of autonomous agents: verify what shipped, arbitrate collisions, refuse with structured reasons.

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

A Model Context Protocol server implementation that allows AI agents to manage DNS records for domains hosted on Cloudflare by providing tools to list, create, update, and delete various types of DNS records.

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.

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

Enables AI agents to perform grounded web research with injection resistance, claim verification, and cost-aware routing through MCP tools like web_search, fetch_url, extract_claims, and check_grounding.

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