"DTS" matching MCP servers:

Enables AI agents to automatically inspect and fill web application forms on job application sites through a logged-in Chrome, supporting text, select, radio, date, cascading dropdowns, and dynamic row operations.

Connects MCP-capable agents to the DTU Computing Center cluster for submitting, monitoring, and chaining LSF jobs without shell access.

Bridges a main agent (e.g., Codex) to a separate execution model in Claude Code Haha Desktop, enabling delegated coding tasks with file modifications, test runs, and change auditing.

A standalone MCP server that brings complete data science capabilities to AI assistants, enabling them to load data, train models, and track experiments through natural language.

A Node.js MCP server that connects AI assistants to SolidWorks for CAD automation via COM interop, with a smart routing layer to handle parameter limits by using VBA macros when needed.

A foundation for creating custom Model Context Protocol servers that can integrate with AI systems, providing a simple BMI calculator tool as an example implementation.

Create designed Figma Slides by chatting with GitHub Copilot or Claude. It generates polished, multi-layout decks with 31 layouts and 17 design systems directly in Figma.

Enables agents to open production change dossiers, attach proof certificates, and request human approval through a secure, unforgeable gate—ensuring no irreversible change can proceed until it has been verified against a sandboxed shadow copy.

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

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.

Provides MCP tools for interacting with the Technocore agent protocol, including signed messaging, nonce management, DID verification, end-to-end encrypted communication, and untrusted data fencing.

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.

Quantitative research, backtesting, creator-marketplace subscriptions, editable strategy forks, continuous copy trading, and controlled brokerage execution through 125 MCP tools.

Enables an MCP client to run and control an authorized local Minecraft Java game session with guarded inventory/crafting checks, a persistent backend, and a restartable controller while keeping configuration and game state local.

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