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MCP工具

OpenSail — Claude MCP 必备工具中文教程

基于 Python · 让 AI 助手直接操作你的系统与工具
英文名:OpenSail
⭐ 539 Stars 🍴 91 Forks 💻 Python 📄 Apache-2.0 🏷 AI 8.2分
8.2AI 综合评分
agentsaiautomationbtrfsconnectorsdeployment
✦ AI Skill Hub 推荐

经 AI Skill Hub 精选评估,OpenSail — Claude MCP 必备工具中文教程 获评「强烈推荐」。这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.2 分,适合有一定技术背景的用户使用。

📚 深度解析
OpenSail — Claude MCP 必备工具中文教程 是一款基于 MCP(Model Context Protocol)标准协议的 AI 工具扩展。MCP 协议由 Anthropic 开发并开源,旨在建立 AI 模型与外部工具之间的标准化通信接口,目前已被 Claude Desktop、Claude Code、Cursor 等主流 AI 工具采纳。

通过安装 OpenSail — Claude MCP 必备工具中文教程,你的 AI 助手将获得额外的工具调用能力,可以用自然语言直接操控该工具的功能,无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置,永久增强"——配置完成后,每次与 AI 对话时都可以无缝调用这些工具。

在技术实现上,MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信,工具的功能以"工具列表"的形式暴露给 AI 模型,AI 可以按需调用。OpenSail — Claude MCP 必备工具中文教程 提供了结构化的工具调用接口,使 AI 模型能够精确地理解和使用每个功能点,显著降低 AI 在工具使用上的错误率。

与传统的 API 集成相比,MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON,即可让 AI 获得全新能力。AI Skill Hub 将 OpenSail — Claude MCP 必备工具中文教程 评为 AI 评分 8.2 分,属于同类工具中的优质选择。
📋 工具概览

OpenSail — Claude MCP 必备工具中文教程 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

GitHub Stars
⭐ 539
开发语言
Python
支持平台
Windows / macOS / Linux
维护状态
正常维护,社区驱动
开源协议
Apache-2.0
AI 综合评分
8.2 分
工具类型
MCP工具
Forks
91
📖 中文文档
以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

OpenSail — Claude MCP 必备工具中文教程 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

📌 核心特色
  • 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
  • 提供结构化工具调用接口,显著降低 AI 集成复杂度
  • 支持 Claude Desktop 和 Claude Code 无缝接入,开箱即用
  • 可与其他 MCP 工具组合叠加,构建完整 AI 工作站
  • 轻量无侵入设计,不影响现有系统架构
🎯 主要使用场景
  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/TesslateAI/OpenSail

# 方式二:手动配置 claude_desktop_config.json
{
  "mcpServers": {
    "opensail---claude-mcp---------": {
      "command": "npx",
      "args": ["-y", "opensail"]
    }
  }
}

# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
📋 安装步骤说明
  1. 确认已安装 Node.js(v18 或以上版本)
  2. 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
  3. 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
  4. 保存配置文件并重启 Claude 客户端
  5. 重启后,在对话中即可使用本工具
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 安装后在 Claude 对话中直接使用
# 示例:
用户: 请帮我用 OpenSail — Claude MCP 必备工具中文教程 执行以下任务...
Claude: [自动调用 OpenSail — Claude MCP 必备工具中文教程 MCP 工具处理请求]

# 查看可用工具列表
# 在 Claude 中输入:"列出所有可用的 MCP 工具"
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
// claude_desktop_config.json 配置示例
{
  "mcpServers": {
    "opensail___claude_mcp_________": {
      "command": "npx",
      "args": ["-y", "opensail"],
      "env": {
        // "API_KEY": "your-api-key-here"
      }
    }
  }
}

// 保存后重启 Claude Desktop 生效
📑 README 深度解析 真实文档 完整度 32/100 含工作流图 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

简介

<p align="center"> <img src="assets/opensail-banner.png" alt="Tesslate OpenSail" width="100%" /> </p>

OpenSail

<p align="center"> OpenSail is the open-source alternative to Codex App, Claude Desktop, Cursor, and Cowork for agentic software work.<br /> <p align="center"> <a href="https://docs.tesslate.com"><strong>Docs</strong></a> · <a href="https://docs.tesslate.com/quickstart"><strong>Quickstart</strong></a> · <a href="https://discord.gg/DkzMzwBTaw"><strong>Join Discord</strong></a> · <a href="https://github.com/TesslateAI/opensail/releases"><strong>Releases</strong></a> </p>

<p align="center"> Build AI apps, agents, workflows, and automations you can inspect, run, share, and own.<br /> Turn recurring work from Slack, email, spreadsheets, tickets, approvals, and internal tools into runnable software.<br /> Manage your fleet of agents. Connect real systems. Add approvals, budgets, permissions, logs, schedules, and human review.<br /> Run it on your infrastructure. Use any model. Open source. Your cloud, your code, your control. </p>

<p align="center"> <a href="#"><img src="https://img.shields.io/badge/License-Apache_2.0-green?style=flat-square" alt="License" /></a> <a href="#"><img src="https://img.shields.io/badge/Platform-Linux_%7C_macOS_%7C_Windows-blue?style=flat-square" alt="Platform" /></a> <a href="#"><img src="https://img.shields.io/badge/Runtime-Kubernetes_Native-purple?style=flat-square" alt="Runtime" /></a> <a href="https://discord.gg/DkzMzwBTaw"><img src="https://img.shields.io/badge/Join_Discord-5865F2?style=flat-square&logo=discord&logoColor=white" alt="Join Discord" /></a> </p>

---

OpenSail is an open platform for building, running, and sharing AI workflows, apps, agents, and automations you can inspect and own.

It is for anyone with a process that keeps coming back: a founder chasing follow-ups, an operator buried in handoffs, a lawyer managing intake and documents, a support team routing issues, a developer building internal tools, or a company giving people a sanctioned place to build useful AI.

Start with a workflow in plain English: "every morning, check these sources, summarize what changed, update Linear, and send the result to Slack." OpenSail turns that into a real runnable system with a trigger, an agent or app action, selected tools and connectors, delivery targets, approval gates, budget limits, run history, and a sandboxed workspace when the workflow needs files, code, or services.

For builders, OpenSail is a way to turn useful AI experiments into durable software. For leaders, it is a control plane for letting teams move fast while keeping data, infrastructure, cost, permissions, and auditability under control.

Under the hood, OpenSail runs on portable, snapshot-backed workspaces. Agents and apps can sleep when idle, wake when needed, keep state across runs, and move from your local desktop to your own cloud with the same project state intact.

---

Build Automations and Agents Autonomously

Describe the system you want, and let OpenSail draft the agent, automation, connectors, schedule, permissions, and review flow.

<p align="center"> <img src="assets/agent-builder.png" alt="Agent Builder authoring a new agent from chat" width="85%" /> </p>

OpenSail includes built-in agents that help people turn intent into reusable team assets.

Agent Builder: Mention @agent-builder, describe the agent you want, and it drafts a user-owned agent with a name, instructions, model preference, connected MCP servers, skills, and tool permissions. It uses the user's installed resources, produces a review card, and publishes after approval.

Automation Builder: Mention @automation-builder, choose one of your existing agents, describe the schedule and output target, and it drafts a user-owned automation. It attaches the cron trigger, prompt template, delivery targets, compute tier, and spend cap, then waits for the publish-and-activate review.

Service Integrator: Use the Service Integrator agent to connect services, configure MCPs and channels, and make sure agents have the tools they need before a workflow goes live.

These builders make the marketplace practical for everyday teams: build an agent, attach the right systems, schedule it, review it, and share it from the same chat surface.

<p align="center"> <img src="assets/agent-builder-details.png" alt="Agent Builder review card with the full agent configuration expanded" width="85%" /> </p>

---

Deployment targets

Ship to 22 places by drawing an edge.

<p align="center"> <img src="assets/deployment-targets.png" alt="Pick from 22 deployment providers — serverless, container, static, and registry targets" width="85%" /> </p>

Deploy from the Architecture Panel. Draw an edge from a container to a deployment target. A/B deployments work naturally: connect the same container to two targets (Vercel for production, Cloudflare for preview) and each gets independent deployment history and rollback.

22 supported targets:

CategoryTargets
**Serverless / Full-stack**Vercel, Netlify, Cloudflare Pages, DigitalOcean App Platform, Railway, Fly.io, Heroku, Render, Koyeb, Zeabur, Northflank
**Static hosting**GitHub Pages, Surge, Deno Deploy, Firebase Hosting
**Container push**AWS App Runner, GCP Cloud Run, Azure Container Apps, DigitalOcean Container Apps
**Registry / Export**Docker Hub, GitHub Container Registry (GHCR), Download/Export (zip)

Each target is a registry entry. Adding a new provider is one config block.

---

Docker Compose

This is the most realistic first run for most people. It starts the frontend, backend, worker, gateway, Postgres, Redis, Traefik, and the devserver image used by user project containers.

Use Docker Desktop on macOS or Windows, Docker Engine on Linux, or Colima on macOS. On Windows, run the commands from WSL2 so bind mounts and project paths behave like Linux paths.

git clone https://github.com/TesslateAI/opensail.git
cd opensail
cp .env.example .env

Edit .env before first boot:

  • SECRET_KEY should be a real random value.
  • LITELLM_API_BASE and LITELLM_MASTER_KEY are needed for agent/model calls. A working model proxy gives you the full agent experience.

Then start the stack:

docker compose up --build -d
docker compose ps

Open http://localhost. API docs are at http://localhost:8000/docs.

The fuller Docker walkthrough is in docs/guides/docker-setup.md. After your first setup, the helper script is handy:

./scripts/docker.sh start
./scripts/docker.sh status
./scripts/docker.sh logs backend

Guided macOS Setup

If you are on macOS and want the repo to help install local tooling, use the interactive installer. It installs Homebrew dependencies, starts Colima, helps create .env, and lets you choose Docker Compose or Minikube.

git clone https://github.com/TesslateAI/opensail.git
cd opensail
./scripts/install-macos.sh

Use Docker Compose unless you specifically need Kubernetes behavior.

Gateway API and MCP Server

Rent your compute to other agents.

OpenSail exposes your running instance to the outside world through two interfaces:

Gateway API: External users (agents or humans) can interact with your OpenSail instance using an API key. They get their own sandboxed containers, can invoke agents, and run workflows. The API supports webhook callbacks on completion, scoped permissions per key, and project-level isolation.

MCP Server (in development): OpenSail itself becomes an MCP tool server. External coding agents (Claude Code, Cursor, Codex, or your own) can connect to your OpenSail instance, get sandboxed compute, use your agents, and publish apps directly from their development environment. Your instance becomes infrastructure that other agents can build on.

---

📚 实用指南(长尾问题)
适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • 本地部署优先选 GGUF 量化模型,节省显存并保持响应速度
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal
  • 显存不足直接 OOM — 优先降低 context 或换更小的量化模型
  • Python 依赖冲突:建议用 venv / uv 隔离环境
部署方案
  • Docker:OpenSail 提供官方镜像,docker compose up 一键启动
  • CLI:直接 npm install -g / pip install,命令行调用
  • 本地部署:CPU 8GB 起,GPU 推荐 16GB+ 显存
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
OpenSail 中文教程OpenSail 安装报错怎么办OpenSail MCP 配置OpenSail Docker 部署OpenSail Agent 工作流OpenSail 与同类工具对比OpenSail 最佳实践OpenSail 适合谁用
⚡ 核心功能
👥 适合人群
Claude Desktop / Claude Code 用户AI 工具开发者需要扩展 AI 能力的专业人士自动化工程师
🎯 使用场景
  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站
⚖️ 优点与不足
✅ 优点
  • +Apache-2.0 协议,可免费商用
  • +标准化 MCP 协议,生态互联性强
  • +与 Claude 官方生态无缝对接
  • +即插即用,配置简单快捷
⚠️ 不足
  • 依赖 Claude 客户端,非 Claude 用户无法使用
  • MCP 协议仍在持续演进,接口可能变更
  • 需要一定的配置步骤
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。

🔗 相关工具推荐
❓ 常见问题 FAQ
OpenSail 是一款Python开发的AI辅助工具。OpenSail is the open-source alternative to Codex App, Claude Desktop, Cursor, and Cowork for agentic software work.
💡 AI Skill Hub 点评

AI Skill Hub 点评:OpenSail — Claude MCP 必备工具中文教程 的核心功能完整,质量优秀。对于Claude Desktop / Claude Code 用户来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。

⬇️ 获取与下载
⬇ 下载源码 ZIP

✅ Apache-2.0 协议 · 可免费商用 · 直接从 aiskill88 服务器下载,无需跳转 GitHub

📚 深入学习 OpenSail — Claude MCP 必备工具中文教程
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 OpenSail
原始描述 OpenSail is the open-source alternative to Codex App, Claude Desktop, Cursor, and Cowork for agentic software work.
Topics agentsaiautomationbtrfsconnectorsdeployment
GitHub https://github.com/TesslateAI/OpenSail
License Apache-2.0
语言 Python
🔗 原始来源
🐙 GitHub 仓库  https://github.com/TesslateAI/OpenSail 🌐 官方网站  https://tesslate.com

收录时间:2026-05-22 · 更新时间:2026-05-22 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。