Enables administering Ubuntu hosts through MCP over stdio, currently exposing a read-only get_system_info tool that reports OS release, hostname, kernel, architecture, memory, and root filesystem capacity.

Cut token cost without cutting model intelligence — a DeepSeek Harness (dsh) bundle plugin: structure-aware compression + TOON-style lossless encoding first + reversible spill-to-disk + real-time dashboard.

A local Git-backed long-term memory bundle for DeepSeek Harness

Read, write, search, and surgically edit Obsidian vault notes, tags, and frontmatter via MCP. STDIO or Streamable HTTP.

Agent-native TypeScript framework for building MCP servers.

Search PubMed/Europe PMC, fetch articles and full text (PMC/EPMC/Unpaywall), citations, MeSH terms via MCP. STDIO or Streamable HTTP.

Usage billing dashboard plugin for DeepSeek Harness: sidebar cost metrics, real usage aggregation from session logs, current multi-provider pricing catalog

A local MCP server with full Figma REST API coverage.

Model-controlled context blocks for DeepSeek Harness PTC mode

DSH 自动化插件：让 Coding 任务按计划在全新 Agent Session 中运行，并由用户或 Agent 创建和管理定时任务。 / Run coding tasks in fresh Agent sessions and manage schedules from DSH Web or an Agent.

Git status badges for DeepSeek Harness: an input-row chip and a sidebar session-row action glyph, on every install — no patch and no manual step. Event-driven freshness over SSE.

A local bridge for bidirectional collaboration between Claude Code and Codex. 连接 Claude Code 与 Codex 的本地实时协作桥接工具。

The fullstack TypeScript framework for MCP and APIs — write one action, serve HTTP, WebSocket, CLI, background tasks, and MCP tools.

The OKF toolkit for Claude Code — author, maintain, validate & visualize Open Knowledge Format bundles. Plugin, agent skills, and a GitHub Action.

Enables AI coding agents across supported harnesses to run a structured multi-agent workflow with persistent memory, squad roles, and bundled skills through MCP tools.

Provides React Native performance optimization guidelines for FPS, TTI, bundle size, memory leaks, re-renders, and animations. Applies to tasks involving Hermes optimization, JS thread blocking, bridge overhead, FlashList, native modules, or debugging jank and frame drops.

ModWrench — one MCP entry, every mod platform. Bundles all installed @modwrench/* platform packages into a single combined MCP server.

Persistent memory for AI agents: keyed facts, a wake bundle each session, one memory in every model.

Shared memory for teams and their AI agents: Markdown concepts with typed links in shared bundles.