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multi-tool-pipeline

yoloshii
更新于 Today
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关于

This MCP skill demonstrates multi-tool orchestration by chaining git repository analysis tools sequentially. It combines git status, commit history, and branch information into a structured summary, serving as a template for complex workflows. Developers should use it to learn orchestration patterns and analyze git repositories through tool chaining.

快速安装

Claude Code

推荐
插件命令推荐
/plugin add https://github.com/yoloshii/mcp-code-execution-enhanced
Git 克隆备选方式
git clone https://github.com/yoloshii/mcp-code-execution-enhanced.git ~/.claude/skills/multi-tool-pipeline

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

Multi-Tool Pipeline Skill

When to Use This Skill

Use this Skill to:

  • Learn multi-tool orchestration patterns
  • Analyze git repositories
  • Chain multiple MCP tools together
  • Use as a template for complex workflows

This is a demonstration skill showing how to chain multiple MCP tools.

What This Skill Does

Demonstrates advanced skill patterns:

  1. Accept multiple CLI arguments
  2. Chain multiple MCP tool calls sequentially
  3. Process and combine results
  4. Return structured output

Pipeline:

  1. Get repository status (git__git_status)
  2. Fetch recent commits (git__git_log)
  3. Get branch information (git__git_branch)
  4. Combine into summary

Instructions

When you need to analyze a git repository, execute:

cd /home/khitomer/Projects/mcp-code-execution-enhanced

uv run python -m runtime.harness scripts/multi_tool_pipeline.py \
    --repo-path "." \
    --max-commits 5

Parameters

  • --repo-path: Path to git repository (default: ".")
  • --max-commits: Maximum number of commits to analyze (default: 10)

Example Usage

# Analyze current repository
uv run python -m runtime.harness scripts/multi_tool_pipeline.py \
    --repo-path "." \
    --max-commits 20

# Analyze different repository
uv run python -m runtime.harness scripts/multi_tool_pipeline.py \
    --repo-path "/path/to/repo" \
    --max-commits 5

Expected Output

The skill returns structured data containing:

  • Repository status
  • Recent commits (up to max-commits)
  • Branch information
  • Summary metadata

Progress is printed during execution:

[1/3] Getting repository status...
[2/3] Fetching last N commits...
[3/3] Getting branch information...
✓ Pipeline complete

MCP Servers Required

Configure a git-capable MCP server in mcp_config.json:

{
  "mcpServers": {
    "git": {
      "type": "stdio",
      "command": "uvx",
      "args": ["mcp-server-git", "--repository", "."]
    }
  }
}

Technical Notes

  • Pattern: Sequential tool chaining with error handling
  • Token cost: ~110 tokens (discovery + execution)
  • Time: ~30 seconds for 3 tool calls
  • Demonstrates:
    • Multiple CLI arguments
    • Tool orchestration
    • Result processing
    • Error handling

Use this as a template for creating custom multi-tool workflows.

Creating Custom Workflows

Based on this pattern, you can create workflows that:

  1. Accept CLI arguments (any parameters you need)
  2. Call multiple MCP tools in sequence or parallel
  3. Process intermediate results
  4. Return final structured output

The CLI argument pattern keeps skills immutable while allowing flexible execution.

GitHub 仓库

yoloshii/mcp-code-execution-enhanced
路径: .claude/skills/multi-tool-pipeline

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