AI Skill Hub 推荐使用:智能代理配置 是一款优质的MCP工具。AI 综合评分 7.5 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。
智能代理配置 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。
智能代理配置 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。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/event4u-app/agent-config
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"------": {
"command": "npx",
"args": ["-y", "agent-config"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 智能代理配置 执行以下任务... Claude: [自动调用 智能代理配置 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"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"______": {
"command": "npx",
"args": ["-y", "agent-config"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
npx @event4u/agent-config init is the canonical install path..augment/ also need Task.npx -y @event4u/agent-config init
Skills, commands, rules, and guidelines can be served as an MCP endpoint from your own Cloudflare Worker — any MCP client (Claude Desktop, Claude Code, Cursor, Zed, Continue, hosted agents) talks to it over HTTP. Two auth modes: public (default, OSS read-only deploys) and bearer-auth (operator opt-in, MCP-Token Wrangler secret).
task mcp:cloud:login # one-time, opens browser
task mcp:cloud:setup # check → r2-create → r2-verify → whoami
task mcp:cloud:secret-put # opt in to bearer-auth (recommended for private deploys)
→ Operator walkthrough: mcp-cloud-setup · Per-client config: mcp-client-config · Endpoints: mcp-cloud-endpoints.
Scope — Lite, not Full. The Worker serves read-only governance (skills · commands · rules · guidelines · contexts) as MCP prompts and resources, plus small read-only tools (memory_lookup,chat_history_read,list_*). It does not execute the ~112 Python scripts (linters, audits,task ci, work-engine hooks) — those require local install per Quickstart.
| Shape | Status | Path |
|---|---|---|
| **Single-user workspace** | ✅ today | npx @event4u/agent-config init — single machine, single user; no remote sync |
| **Small team (3–10 people)** | ✅ today | Shared agents/overrides/ Git repo + shared NAS for knowledge — no code change, no new server. Recipe: [docs/deploy/small-team-recipe.md](docs/deploy/small-team-recipe.md) |
| **Organization mode** (SSO · central policy · team context · internal connectors) | ⏸ not started | Each shape gated on a recruited customer + funded audit + maintainer ADR. Posture rationale: [docs/deploy/team-deployment-posture.md](docs/deploy/team-deployment-posture.md) |
The Hard Floor on organization-mode features (SSO, central policy, OAuth connectors, team-context) is preserved by design — they stay cancelled until a real first customer + funded security audit lifts them. The small-team recipe is the supported path in the meantime.
The 9.3/10 feedback round (2026-05-25) re-asked for OAuth knowledge connectors, IAM / org governance, and organization-shared memory. Each is a stable cancellation row in team-deployment-posture under the same three release gates — recruited team customer · funded audit · maintainer ADR.
| Tool | Rules | Skills | Commands | How it works |
|---|---|---|---|---|
| **Claude Code** | ✅ | ✅ | ✅ | Reads .claude/ |
| **Cursor** | ✅ | — | ☑️ | Reads .cursor/rules/ + commands via AGENTS.md |
| **Cline** | ✅ | — | ☑️ | Reads .clinerules/ + commands via AGENTS.md |
| **Windsurf** | ✅ | — | ☑️ | Reads .windsurfrules + commands via AGENTS.md |
| **Gemini CLI** | ✅ | — | ☑️ | Reads GEMINI.md |
| **GitHub Copilot** | ✅ | — | ☑️ | Reads .github/copilot-instructions.md |
| **Roo Code** | ✅ | — | ☑️ | Auto-discovers .roo/rules/*.md + AGENTS.md |
| **Codex CLI** | ✅ | — | ☑️ | Auto-discovers AGENTS.md |
| **Continue.dev** | ✅ | — | ☑️ | Auto-discovers .continue/rules/*.md + AGENTS.md |
| **Aider** | 📌 | — | — | Manual read: in .aider.conf.yml |
| **Augment** (VSCode/IntelliJ) | 📌 | — | — | Global-only; project writes marker |
| **Claude Desktop** | 📌 | — | — | Global-only |
✅ native ☑️ text reference (in AGENTS.md, not invokable as native slash-command) 📌 marker only — not available
Team reproducibility: every tool youinitis recorded inagents/installed-tools.lock(committed, machine-managed). New team members runnpx @event4u/agent-config syncafter cloning; CI gates drift withagent-config validate. Schema:installed-tools-manifest.
| Tool | Install |
|---|---|
| **Augment CLI** · **Claude Code** · **Copilot CLI** | [Install →](docs/installation.md) — rules + skills + commands, marketplace-updated |
Keep the global install current with agent-config upgrade (latest) or agent-config refresh --global (same-version re-install); agent-config doctor flags a missing-from-PATH binary or binary↔plugin version drift. See getting-started § Keeping current.
Three steps. Five minutes. Browser wizard, no YAML by hand.
```bash
The flagship command. Drives a ticket end-to-end through a fixed linear flow — and blocks on ambiguity instead of guessing.
/implement-ticket PROJ-123
The agent runs this sequence:
refine → memory → analyze → plan → implement → test → verify → report
minimal-safe-diff + scope-control — no drive-by edits./commit and /create-pr are suggestions, never auto-run.Any ambiguity halts the flow with numbered options — never a silent guess. Persona comes from .agent-settings.yml (roles.active_role): senior-engineer (default), qa, or advisory (plan-only).
Choose your experience — developer · founder · content · agency · finance · ops. Add packs. Get a focused command set, not a 500-artefact dump. Bring your own AI provider.
Six role-shaped entry paths, one shared skills + rules + commands layer that turns any host agent (Claude Code, Augment, Cursor, Copilot, Windsurf) into a reliable team member — without locking you to a single model or vendor.
A content layer — skills, rules, commands, guidelines, personas — distributed via npm and projected into every supported AI tool's native config format. It follows the Agent Skills open standard.
It is not an agent runtime. The agent loop, the LLM dispatcher, and tool orchestration stay with the host tool (Claude Code, Augment, Cursor, Cline, Windsurf, Gemini CLI, Copilot). Think of it as a playbook and style guide for those tools — not a replacement.
| In scope | Out of scope |
|---|---|
| Skills, rules, commands, guidelines, personas | Agent loop / LLM dispatcher |
| Multi-tool projection + condensation pipeline | Execution engine inside the package |
Memory helpers (memory-add, memory-promote) | Cross-tool observability dashboard |
| Linters, CI, frontmatter validation against [JSON-Schema](scripts/schemas/) ([contract](agents/reference/docs/frontmatter-contract.md)) | Runtime GUI / web dashboard |
| Skill orchestration via citations + deterministic helpers | Opinionated *automatic* skill-resolver (ML / relevance ranking that decides for you) |
| User-driven projection-time filtering by profile + packs ([ADR-040](docs/decisions/ADR-040-execution-model-projection-time-filtering.md)) | A *runtime* resolver / daemon (mid-session switching — conditional, post-6.0.0) |
@event4u/agent-memory — MCP-based backend for cross-session learnings. Strictly optional; without it, skills fall back to file-based memory under agents/memory/.
npm install --save-dev @event4u/agent-memory
→ Memory contract · Built-in MCP server (experimental)
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高质量的智能代理配置工具
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。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,智能代理配置 是一款质量良好的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | agent-config |
| 原始描述 | 开源MCP工具:Universal AI Agent OS — governed skills, rules, commands for developers, founder。⭐7 · Python |
| Topics | ai-agentmcppython |
| GitHub | https://github.com/event4u-app/agent-config |
| License | MIT |
| 语言 | Python |
收录时间:2026-06-05 · 更新时间:2026-06-05 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端