技能库智客分类：Agent 工作流 mcp-cli

Mcp Cli

MCP(模式上下文协议)服务器通过CLI的接口. 需要通过MCP服务器与外部工具,API或数据源交互时使用,列出可用的MCP服务器/工具,或从命令行调用MCP工具.

9648 安装量

官方网址：skills.sh

技能介绍

先看中文介绍；官方 description 原文单独保留，不改写 SKILL.md。

做什么

通过 CLI 为 MCP( 模式上下文协议) 服务器接口

何时用

您需要通过 MCP 服务器与外部工具、 API 或数据源交互, 列出可用的 MCP 服务器/ 工具, 或从命令行调用 MCP 工具

代理如何加载

按 Agent Skills 渐进披露：启动时只加载 name 与 description（约 100 token）；任务匹配后才读入整份 SKILL.md 正文；scripts/、references/、assets/ 仅在需要时再读。本文件正文结构：MCP-CLI、Commands、Workflow、Examples、List all servers and tool names、See all tools with parameters。其中含规范建议的小节：分步指令、输入输出示例。

文件分析

文件分析：这是一份仅含 SKILL.md 的指令型技能，代理激活后整份正文进入上下文。

官方 description（原文）

Interface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP servers, list available MCP servers/tools, or call MCP tools from command line.

MCP-CLICommandsWorkflowExamplesList all servers and tool namesSee all tools with parametersWith descriptions (more verbose)Get JSON schema for specific toolCall the toolSearch for toolsJSON output for parsingComplex JSON with quotes (use heredoc or stdin)

来源分类：skills.sh agent-skill

来源与网址

市场来源：skills.sh

GitHub 完整包

开源榜 Skill 分类

SKILL.md 与 Agent 调用

官方规范 ↗

name: mcp-cli
description: Interface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP servers, list available MCP servers/tools, or call MCP tools from command line.

发现技能客户端向 Agent 提供名称与描述目录。
匹配与调用用户指定或任务匹配后，载入 SKILL.md 指令。
按需加载按步骤读取参考文档、使用脚本与素材。

具体调用语法与可用工具以目标 Agent 客户端为准。查看调用机制说明 ↗

安装这个技能

Skills CLI ↗

先选择目标 Agent 和安装范围，保留技能包的附属文件，安装后检查客户端能否发现该技能。

交给 Agent 安装

复制安装指令给支持 Agent Skills 的代理，确认其中的目标目录与客户端匹配。

把 Agent Skill「mcp-cli」安装到我的项目：SKILL.md 原文与官方 description 见 https://zicq.com/zh/skills/skl-cc90bc3bcc3272fb-Mcp-Cli.html
请存为 .cursor/skills/mcp-cli/SKILL.md 或 .claude/skills/mcp-cli/SKILL.md，frontmatter 的 name 与 description 保持原样，不要改写。

GitHub 完整包 ↗

终端安装 · Skills CLI

需要 Node.js 与 npx。先查看仓库技能列表，确认实际名称。

npx skills add 'https://github.com/github/awesome-copilot' --list

目标客户端安装范围

npx skills add 'https://github.com/github/awesome-copilot' --skill 'mcp-cli'

CLI 会交互选择目标 Agent，默认安装到项目；用户级安装使用 -g。先通过查看命令核对仓库内容，再用 npx skills list 检查已安装技能。

SKILL.md 原文可复制，不会改动源文件

# MCP-CLI

Access MCP servers through the command line. MCP enables interaction with external systems like GitHub, filesystems, databases, and APIs.

## Commands

| Command                            | Output                          |
| ---------------------------------- | ------------------------------- |
| `mcp-cli`                          | List all servers and tool names |
| `mcp-cli <server>`                 | Show tools with parameters      |
| `mcp-cli <server>/<tool>`          | Get tool JSON schema            |
| `mcp-cli <server>/<tool> '<json>'` | Call tool with arguments        |
| `mcp-cli grep "<glob>"`            | Search tools by name            |

**Add `-d` to include descriptions** (e.g., `mcp-cli filesystem -d`)

## Workflow

1. **Discover**: `mcp-cli` → see available servers and tools
2. **Explore**: `mcp-cli <server>` → see tools with parameters
3. **Inspect**: `mcp-cli <server>/<tool>` → get full JSON input schema
4. **Execute**: `mcp-cli <server>/<tool> '<json>'` → run with arguments

## Examples

```bash
# List all servers and tool names
mcp-cli

# See all tools with parameters
mcp-cli filesystem

# With descriptions (more verbose)
mcp-cli filesystem -d

# Get JSON schema for specific tool
mcp-cli filesystem/read_file

# Call the tool
mcp-cli filesystem/read_file '{"path": "./README.md"}'

# Search for tools
mcp-cli grep "*file*"

# JSON output for parsing
mcp-cli filesystem/read_file '{"path": "./README.md"}' --json

# Complex JSON with quotes (use heredoc or stdin)
mcp-cli server/tool <<EOF
{"content": "Text with 'quotes' inside"}
EOF

# Or pipe from a file/command
cat args.json | mcp-cli server/tool

# Find all TypeScript files and read the first one
mcp-cli filesystem/search_files '{"path": "src/", "pattern": "*.ts"}' --json | jq -r '.content[0].text' | head -1 | xargs -I {} sh -c 'mcp-cli filesystem/read_file "{\"path\": \"{}\"}"'
```

## Options

| Flag         | Purpose                   |
| ------------ | ------------------------- |
| `-j, --json` | JSON output for scripting |
| `-r, --raw`  | Raw text content          |
| `-d`         | Include descriptions      |

## Exit Codes

- `0`: Success
- `1`: Client error (bad args, missing config)
- `2`: Server error (tool failed)
- `3`: Network error

阅读排版

--- name: mcp-cli description: Interface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP servers, list available MCP servers/tools, or call MCP tools from command line. --- # MCP-CLI Access MCP servers through the command line. MCP enables interaction with external systems like GitHub, filesystems, databases, and APIs. ## Commands | Command | Output | | ---------------------------------- | ------------------------------- | | `mcp-cli` | List all servers and tool names | | `mcp-cli ` | Show tools with parameters | | `mcp-cli /` | Get tool JSON schema | | `mcp-cli / ''` | Call tool with arguments | | `mcp-cli grep ""` | Search tools by name | **Add `-d` to include descriptions** (e.g., `mcp-cli filesystem -d`) ## Workflow 1. **Discover**: `mcp-cli` → see available servers and tools 2. **Explore**: `mcp-cli ` → see tools with parameters 3. **Inspect**: `mcp-cli /` → get full JSON input schema 4. **Execute**: `mcp-cli / ''` → run with arguments ## Examples ```bash # List all servers and tool names mcp-cli # See all tools with parameters mcp-cli filesystem # With descriptions (more verbose) mcp-cli filesystem -d # Get JSON schema for specific tool mcp-cli filesystem/read_file # Call the tool mcp-cli filesystem/read_file '{"path": "./README.md"}' # Search for tools mcp-cli grep "*file*" # JSON output for parsing mcp-cli filesystem/read_file '{"path": "./README.md"}' --json # Complex JSON with quotes (use heredoc or stdin) mcp-cli server/tool <

Mcp Cli

技能介绍

做什么

何时用

代理如何加载

文件分析

SKILL.md 与 Agent 调用

安装这个技能

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