"Traditional Welsh Dish Cawl" matching MCP servers:

Enables running one Codex CLI task at a time in an isolated temporary folder, returning Codex's answer and a manifest of produced files for manual review and selective copying.

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.

Enables a DeepSeek Harness agent to delegate bounded coding tasks to a local ZCode runtime, follow their progress through events, and review the resulting diffs before accepting or continuing the work. It also exposes model catalog, default-model, and setup-diagnostics tools for managing those delegated tasks.

Enables zero-cost autonomous coding and dual-agent verification by connecting AI IDEs to DeepSeek Harness and local or free model backends.

Launches the official Codex CLI as a persistent MCP server so DeepSeek Harness can invoke Codex models without storing or transmitting ChatGPT credentials to third parties.

Enables Codex to hand off coding tasks to a locally running DeepSeek Harness Desktop Host over MCP, reusing the Host's configured model and runtime and returning a session ID for status checks, incremental event streaming, waiting, and cancellation.

Exposes DeepSeek Harness agent capabilities over MCP so any MCP client can delegate real coding work to a running agent with its full toolset (bash, filesystem, todo, web). Turns are dispatched asynchronously into sessions and then tracked through status, tail, wait, cancel, compact, and rename tools, with the session log as the source of truth so results survive restarts.

A governed stdio bridge that lets DeepSeek Harness delegate scoped, resumable Codex tasks on the local machine with pinned sandbox and approval policy, read-back verification, and activity reporting.

Enables external MCP clients to drive DeepSeek Harness agents for real coding tasks, providing tools for task execution and queueing, session management, sandboxed file access, preset switching, and usage statistics.

Exposes DeepSeek Harness's coding agent as a model backend via MCP, with user-confirmed task execution and self-inspection/config-patch tools.

Exposes a running DeepSeek Harness as an MCP endpoint so any other agent or script can create workspaces and sessions, hand coding tasks to the DSH agent, read and write files, run shell commands, and invoke permitted harness tools under the same sandbox, transcript, and permission policy as the DSH UI.

Lets Claude Code, Codex, or any MCP client drive DeepSeek Harness as a long-lived coding agent: starting and resuming conversations, dispatching tasks in the background, streaming live output and reasoning stats, interjecting or interrupting mid-turn, handling approval prompts, and collecting results later. Sessions persist by ID, so work survives process restarts and can be handed back to a DSH GUI when needed.

Enables unified access to a multi-node DSH control plane, routing ChatGPT tool calls to appropriate node agents with presence awareness, health monitoring, and fail-closed execution.

Enables Codex to delegate coding tasks to DeepSeek Harness (DSH) for file reading, editing, and checking, while Codex handles planning and review. It manages scheduled workflows with concurrency safety and acceptance evidence.

Enables Codex to delegate coding tasks to a persistent DeepSeek Harness agent that can read repositories, edit files, and run tests, while letting users follow up, monitor progress, and interrupt the work.

Exposes DeepSeek Harness agent capabilities as an MCP server, letting any MCP client drive Harness to execute real coding tasks with structured results, context isolation, and parallel execution.

Enables Codex to plan and get approval, execute tasks with DSH in isolated Git worktrees, independently review results, and optionally deliver draft PRs/MRs.

A graph-based MCP server that provides AI coding agents with persistent memory to store patterns, track complex relationships, and retrieve knowledge across sessions. It leverages graph structures to handle temporal queries and relational paths that traditional vector stores often miss.

Enables MCP clients like Codex and DSH to invoke DeepSeek subagents for inspect, plan, review, and implement tasks, with write protection, rollback, and status reporting.