SciREPL MCP
MCP servers for controlling SciREPL from coding agents and MCP clients, offering an app-connected broker and a Playwright driver for browser automation.
README
SciREPL MCP
SciREPL MCP contains two independently installable servers for controlling SciREPL from coding agents and other Model Context Protocol clients. Choose the server that matches where SciREPL is running; installing one does not install the other's dependencies.
| Server | Best for | Connection | Browser dependency |
|---|---|---|---|
| App-connected broker | SciREPL Pro on Android or in a browser | SciREPL connects outward to the broker; MCP clients use Streamable HTTP | None |
| Playwright driver | Free-PWA, hosted-PWA, and local-browser workbook automation | The server launches or attaches to Chromium over CDP; Android attachment is planned | Playwright and Chromium |
The two approaches are complementary. The broker calls the app's own approved tools and can optionally host a remote coding-agent or terminal session. The Playwright driver operates the visible notebook interface and is useful for automated workbook testing, screenshots, and diagnosing browser behaviour.
App-connected broker
git clone https://github.com/s243a/SciREPL-MCP.git
cd SciREPL-MCP
./setup-broker.sh
~/scirepl-broker/start-broker.sh
Setup requires Node.js 20 or newer and fails before writing if the current shell
still points to an older system Node. If you use NVM, run nvm use 22 first. The
generated launcher retains that validated Node executable.
On native Windows, the core bridge can be prepared with
./setup-broker.ps1 from PowerShell. Agent and terminal modes currently use
POSIX process conventions and should run under WSL. Native PowerShell/ConPTY is
a possible future terminal profile, not a current feature.
The broker is executed directly by Node.js; it is not compiled. Setup installs
only its JavaScript dependencies by default. Optional terminal mode installs and
verifies the native node-pty dependency on the machine that will run it.
See the broker guide for pairing SciREPL Pro, connecting an MCP client, and enabling the optional agent or terminal surfaces.
Playwright driver
git clone https://github.com/s243a/SciREPL-MCP.git
cd SciREPL-MCP/packages/playwright-driver
npm ci
npx playwright install chromium
npm test
npm start
See the Playwright driver guide for MCP client configuration, attaching to an existing Chromium session, and the tool catalog.
Repository checks
The root package is an orchestration convenience only. It is deliberately not an npm workspace, so installing the broker never pulls in Playwright.
npm run install:all
npm test
npm run audit
npm run setup is the explicit broker-environment setup command, not the
repository dependency-install command.
Security and privacy
The app-connected broker binds to loopback by default and requires a pairing token. Its remote-agent and terminal endpoints are disabled by default. The Playwright driver can control a browser profile and everything visible to that profile. Treat both as trusted local development tools, use encrypted tunnels for remote access, and read the security policy before exposing either service.
Neither server adds analytics or telemetry. Hosted model clients and coding agents may still send selected notebook content to their configured providers.
The repository stores agent guidance only as inert .template files. Explicit
agent setup materializes conventional AGENTS.md, CLAUDE.md, and provider
settings inside a dedicated private session workspace; ordinary broker startup
does not create them. See the agent-context guide.
Project relationship
This standalone repository is intended to be the canonical public home for both
SciREPL MCP servers. After its initial publication it can be referenced from
UnifyWeaver at examples/sci-repl/mcp as a Git submodule, without mixing its
history into the UnifyWeaver repository.
The browser driver was originally developed in the public UnifyWeaver project; the app-connected broker was extracted from SciREPL Pro. See PROVENANCE.md for the exact source revisions and boundaries.
License
MIT. See LICENSE. Direct dependency licensing is summarized in THIRD_PARTY_NOTICES.md.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。