🔌
MCP工具

Strada-Brain

基于 TypeScript · 让 AI 助手直接操作你的系统与工具
⭐ 25 Stars 🍴 2 Forks 💻 TypeScript 📄 未公布协议 🏷 AI 7.5分
7.5AI 综合评分
mcpagentic-aiagentic-workflowclaudegame-developmentgamedevtypescript
✦ AI Skill Hub 推荐

Strada-Brain 是 AI Skill Hub 本期精选MCP工具之一。综合评分 7.5 分,整体质量较高。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。

📚 深度解析
Strada-Brain 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 Strada-Brain,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。Strada-Brain 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 Strada-Brain 评为 AI 评分 7.5 分,属于同类工具中的优质选择。
📋 工具概览

Strada-Brain 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
⭐ 25
开发语言
TypeScript
支持平台
Windows / macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
未公布
AI 综合评分
7.5 分
工具类型
MCP工具
Forks
2
📖 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」。

Strada-Brain 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/okandemirel/Strada.Brain

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

# 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 Strada-Brain 执行以下任务...
Claude: [自动调用 Strada-Brain 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": {
    "strada-brain": {
      "command": "npx",
      "args": ["-y", "strada.brain"],
      "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 82/100 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="icon/strada-brain-icon.png" alt="Strada.Brain Logo" width="200"/> </p>

Strada.Brain

<p align="center"> <strong>AI-Powered Development Agent for Unity / Strada.Core Projects</strong><br/> An autonomous coding agent that connects to a web dashboard, Telegram, Discord, Slack, WhatsApp, or your terminal &mdash; reads your codebase, writes code, runs builds, learns from its mistakes, and operates autonomously with a 24/7 daemon loop. Now with multi-agent orchestration, task delegation, memory consolidation, a deployment subsystem with approval gates, media sharing with LLM vision support, a configurable personality system via SOUL.md, control-plane clarification review, intelligent multi-provider routing with task-aware dynamic switching, confidence-based consensus verification, an autonomous Agent Core with OODA reasoning loop, an extensible skill ecosystem with SKILL.md manifests and a git-based registry, and Strada.MCP integration. </p>

<p align="center"> <img src="https://img.shields.io/badge/TypeScript-5.7-blue?style=flat-square&logo=typescript" alt="TypeScript"> <img src="https://img.shields.io/badge/Node.js-%3E%3D20-green?style=flat-square&logo=node.js" alt="Node.js"> <img src="https://img.shields.io/badge/tests-4527%2B-brightgreen?style=flat-square" alt="Tests"> <img src="https://img.shields.io/badge/license-MIT-blue?style=flat-square" alt="License"> </p>

<p align="center"> <strong>English</strong> | <a href="README.tr.md">T&uuml;rk&ccedil;e</a> | <a href="README.zh.md">&#20013;&#25991;</a> | <a href="README.ja.md">&#26085;&#26412;&#35486;</a> | <a href="README.ko.md">&#54620;&#44397;&#50612;</a> | <a href="README.de.md">Deutsch</a> | <a href="README.es.md">Espa&ntilde;ol</a> | <a href="README.fr.md">Fran&ccedil;ais</a> </p>

---

Features

VariableDefaultDescription
RAG_ENABLEDtrueEnable semantic code search over your C# project
EMBEDDING_PROVIDERautoEmbedding provider: auto, openai, gemini, mistral, together, fireworks, qwen, ollama
EMBEDDING_DIMENSIONS(provider default)Output vector dimensions (Matryoshka: 128-3072 for Gemini/OpenAI)
MEMORY_ENABLEDtrueEnable persistent conversation memory
MEMORY_DB_PATH.strada-memoryDirectory for memory database files
WEB_CHANNEL_PORT3000Web channel UI port
DASHBOARD_ENABLEDfalseEnable HTTP monitoring dashboard
DASHBOARD_PORT3100Dashboard server port
ENABLE_WEBSOCKET_DASHBOARDfalseEnable WebSocket real-time dashboard
WEBSOCKET_DASHBOARD_PORT3100WebSocket dashboard server port
| WEBSOCKET_DASHBOARD_AUTH_TOKEN | (unset) | Optional bearer token for WebSocket dashboard auth; when present it also protects dashboard APIs, and when absent the embedded same-origin dashboard boot

Prerequisites

  • Node.js 20.19+ (or 22.12+) — if Node.js is not installed, the launcher will offer to download a portable copy automatically (Windows only, ~30 MB one-time download, stored in %LOCALAPPDATA%\Strada\node). You can also point to a custom binary with STRADA_NODE_PATH.
  • At least one supported AI provider configured (ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, etc.), a Claude subscription token (ANTHROPIC_AUTH_MODE=claude-subscription + ANTHROPIC_AUTH_TOKEN), an OpenAI ChatGPT/Codex subscription session (OPENAI_AUTH_MODE=chatgpt-subscription), or an ollama-only PROVIDER_CHAIN
  • A Unity project (the path you give the agent). Strada.Core is recommended for full framework-aware assistance; without it, Strada.Brain still runs with reduced Strada-specific guidance.

1. Install

```bash

Clone from source (currently the canonical install path)

git clone https://github.com/okandemirel/Strada.Brain.git Strada.Brain

2. Setup

```bash

Interactive setup wizard (terminal or web browser)

./strada setup

Skip the chooser and jump straight into one setup surface

./strada setup --web ./strada setup --terminal

powershell

Or, after installing the user-local command

strada doctor

powershell

2. claude setup-token

ANTHROPIC_AUTH_MODE=claude-subscription ANTHROPIC_AUTH_TOKEN=sk-ant-sid01-...

Bare command after `./strada install-command`

strada

Installing skills

```bash

Install from any public git repository

strada skill install https://github.com/okandemirel/strada-skill-example

List installed skills and their status

strada skill list

Show details for an installed skill

strada skill info <name>

Deployment Subsystem

An opt-in deployment system with human-in-the-loop approval gates and circuit breaker protection.

ReadinessChecker: - Validates system readiness before deployment (build status, test results, resource availability) - Configurable readiness criteria

DeployTrigger: - Integrates with the daemon's trigger system as a new trigger type - Fires when deployment conditions are met (e.g., all tests pass, approval granted) - Includes an approval queue: deployments require explicit human approval before execution

DeploymentExecutor: - Executes deployment steps in sequence with rollback capability - Environment variable sanitization prevents credential leakage in deployment logs - Circuit breaker: consecutive deployment failures trigger automatic cooldown to prevent cascading failures

Security: Deployment is disabled by default and requires explicit opt-in via configuration. All deployment actions are logged and auditable.

---

Quick Start

Optional shorter shell

cd Strada.Brain

powershell

Optional: enable internal system auth / JWT sessions

JWT_SECRET=<generate with: openssl rand -hex 64> ```

Start your configured default channel directly in daemon mode

./strada --daemon

Configuration Reference

All configuration is via environment variables. See .env.example for the full list.

Minimum Runtime Config

VariableDescription
UNITY_PROJECT_PATHAbsolute path to your Unity project root (must contain Assets/)

Claude via API key

ANTHROPIC_API_KEY=sk-ant-...

Interactive CLI mode (fastest way to test)

./strada start --channel cli

4. CLI Commands

./strada                  # Canonical source-checkout launcher
.\strada.ps1             # Canonical Windows PowerShell source-checkout launcher
strada.cmd               # Windows Command Prompt companion launcher inside the checkout
node strada.js            # Universal Node.js entry point (works on any OS without shell wrappers)
./strada install-command  # Install a user-local bare `strada` command
.\strada.ps1 install-command # Windows source-checkout bare-command install
./strada uninstall        # Remove the installed bare command and managed PATH/profile changes
.\strada.ps1 uninstall    # Windows source-checkout bare-command uninstall
strada uninstall --purge-config # Also remove Strada runtime state and source-checkout generated artifacts for a zero-install rerun
strada                    # Smart launcher after install-command
strada --daemon           # Start the configured default channel in daemon mode
strada --web              # Open the web channel, or continue web-first setup on a fresh machine
strada --terminal         # Open the terminal channel, or force terminal setup on a fresh machine
./strada setup --web      # Launch the browser wizard directly
./strada setup --terminal # Use the terminal wizard directly
.\strada.ps1 setup --web  # Windows PowerShell browser wizard
.\strada.ps1 setup --terminal # Windows PowerShell terminal wizard
./strada doctor           # Verify install/build/config readiness
.\strada.ps1 doctor       # Windows PowerShell readiness check
./strada start            # Start the agent
./strada supervise        # Run with auto-restart supervisor
./strada update           # Check and apply updates
./strada update --check   # Check for updates without applying
./strada version-info     # Show version, install method, update status

Strada.MCP Integration

Strada.Brain detects an installed Strada.MCP, verifies the package root, and loads only MCP action tools that are executable in the current Brain runtime into the main toolchain. Detection can be pinned with STRADA_MCP_PATH, while missing Strada.Core / Strada.Modules installs use the explicit STRADA_CORE_REPO_URL and STRADA_MODULES_REPO_URL config values instead of hidden env fallbacks. Installed Strada.Core and Strada.MCP docs/sources remain authoritative knowledge even when bridge or runtime constraints keep some MCP prompts/resources/tools out of the live worker tool surface.

---

🎯 aiskill88 AI 点评 A 级 2026-05-23

该项目是一个开源的MCP工具,使用AI进行自动编码,支持Unity/Strada.Core,但需要进一步的开发和测试

⚡ 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
  • +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
  • 未明确开源协议,商用场景需谨慎评估
  • 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

该工具未明确声明开源协议,商业使用前请联系原作者确认授权范围,避免侵权风险。

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。

🔗 相关工具推荐
❓ 常见问题 FAQ
解答
💡 AI Skill Hub 点评

经综合评估,Strada-Brain 在MCP工具赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。

⬇️ 获取与下载
⚠️ 该工具未声明开源协议,不提供直接下载。请访问原项目了解使用条款。
📚 深入学习 Strada-Brain
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 Strada-Brain
Topics mcpagentic-aiagentic-workflowclaudegame-developmentgamedevtypescript
GitHub https://github.com/okandemirel/Strada.Brain
语言 TypeScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/okandemirel/Strada.Brain

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