"Traditional Welsh Dish Cawl" matching MCP servers:

Delegates coding tasks to the locally installed DeepSeek Harness CLI, enabling MCP clients to run prompts through dsh and receive results with exit code and timing.

Enables handing one self-contained job to the Claude Code CLI on the local machine and getting back its final message plus a manifest of the artifacts it produced, without letting Claude write into the user's project. Reads are limited to named directories and all writes stay in a throwaway run directory, so the user reviews the listed files and copies in only what they approve.

MCP server wrapping DeepSeek's agent harness tools into minimal/standard modes, enabling persistent shell, file editing, search, job management, and more via natural language.

A Model Context Protocol server allowing Claude AI to interact with AWS resources through natural language, enabling users to query and manage AWS services without using the traditional AWS Console or CLI.

A cheap, fast execution layer for MCP agents that delegates file reads, edits, and command runs to a local DeepSeek Harness, reducing cost and latency while keeping the parent agent in control of planning and reasoning.

Safety-gated SSH MCP server for DeepSeek Harness and standard MCP clients, enabling agents to use a laboratory server's GPU, runtime, and configured source workspace while keeping the server isolated from the public internet.

Provides desktop automation capabilities (e.g., click, browser snapshot) as MCP tools for DSH agents, enabling computer use via natural language.

Enables models to enumerate and diagnose OpenSSH host aliases, run remote commands or shell scripts, transfer files safely, manage remote processes, and perform non-interactive privilege checks/operations within strict safety boundaries.