RunningHub MCP
Related Servers
Alternatives to RunningHub MCP
No user-submitted related servers found.
Related Servers
AlicenseAqualityCmaintenanceEnables local Codex users to generate and preview images, music, video, and speech, with model catalogs, cost estimates, budget validation, task recovery, and account-scoped media handling.35MIT- AlicenseNot gradedqualityBmaintenanceEnables Doubao Work to submit, monitor, resume, and independently verify coding tasks that a local Codex app-server executes in persistent project sessions, with SQLite-backed task state and artifacts retained on the user's machine.1MIT
- AlicenseNot gradedqualityAmaintenanceEnables bounded, multi-phase coding workflows inside Codex that plan, implement, independently review, repair, and verify repository changes, with an inline dashboard for inspecting runs.MIT
- AlicenseNot gradedqualityCmaintenanceEnables natural-language management of Codex's own archive with configurable idle, completion, and GitHub workflow rules, safety previews, reversible operations, and local scheduling.MIT
- AlicenseNot gradedqualityCmaintenanceEnables local, bounded routing and evidence judgments for Codex tasks, with tools for reading file context, checking outputs, and selecting registered workflows while keeping execution and review with the client.MIT
- AlicenseNot gradedqualityBmaintenanceLets Claude and other MCP clients hand coding tasks to the Codex CLI as a sub-agent, running under the user's own Codex configuration so any configured model provider (OpenAI, DeepSeek, local models) does the work. Provides tools to start, poll, cancel and inspect jobs with compact change summaries, long-task handling, token-saving lean mode and clean process teardown.MIT
TDQS
Scored across 24 tools
Most tools target clearly distinct resources or lifecycle stages, and descriptions explicitly separate local from cloud and discovery from execution. Some potential confusion remains among noun-only multiplexed tools (rh_job, rh_work_item, rh_prepare_generation) and between validate_payload and validate_workflow, but boundaries are generally clear.
All tools use a consistent rh_ snake_case prefix, but the naming pattern is not uniform: many are verb_noun, while project, asset, scene, work_item, and job are noun-only tools that bundle multiple operations. The names are readable but do not follow one predictable convention.
24 tools is heavy for a single MCP server and sits at the upper edge of the 16-25 range before becoming excessive. The domain is broad enough that each tool has some rationale, but the set is large enough to burden selection and increase cognitive load.
The surface covers discovery, workflow creation/read/edit/validate/export/import/search, project and asset handling, scene and work-item context, generation preparation/run/job/results/review, and capability reporting. Some delete or list operations are absent, such as deleting projects/assets or listing jobs, but core generation lifecycle coverage is strong.