关于 MCP Git Ingest
MCP Git Ingest 是一个 MCP 服务,用于读取 GitHub 仓库的目录结构和重要文件。它受 gitingest 启发,适合需要让模型理解代码仓库内容的开发者。
主要功能
- 01读取 GitHub 仓库目录结构
- 02读取仓库中的重要文件
- 03通过 uvx 安装和运行
适用场景
- 01让 LLM 分析开源项目的代码实现方式
- 02在对话中快速了解陌生仓库的结构
MCP 相关
该项目是一个 MCP 服务,向 MCP 客户端提供读取 GitHub 仓库结构和文件的工具,例如 github_directory_structure。
配置
本地服务的配置在各客户端中通用,复制后粘贴到客户端的 MCP 配置文件即可。
工具
还没有获取到工具列表
本地服务需要在你的电脑上运行后才能读取工具,维护者暂未提供工具列表。
详细介绍
MCP Git Ingest
一个帮助读取 GitHub 仓库结构和重要文件的模型上下文协议(MCP)服务。
灵感来自 gitingest。
配置
{
"mcpServers": {
"mcp-git-ingest": {
"command": "uvx",
"args": ["--from", "git+https://github.com/adhikasp/mcp-git-ingest", "mcp-git-ingest"],
}
}
}
使用方法
使用 mcp-client-cli:
$ llm read https://github.com/adhikasp/mcp-git-ingest and determine how the code technically works
I'll help you understand the technical details of the mcp-git-ingest repository. I'll first fetch the directory structure and then read the important files to analyze how the code works.
Tool Calls:
github_directory_structure
Args:
repo_url: https://github.com/adhikasp/mcp-git-ingest
Now, I'll read the important files to understand the technical implementation:
Tool Calls:
github_read_important_files
Args:
repo_url: https://github.com/adhikasp/mcp-git-ingest
file_paths: ['README.md', 'src/mcp_git_ingest/main.py', 'pyproject.toml']
Let me break down how this code technically works:
1. Purpose:
The `mcp-git-ingest` is a Model Context Protocol (MCP) server designed to help read GitHub repository structures and important files. It provides two main tools:
- `github_directory_structure`: Returns a tree-like representation of a repository's directory structure
- `github_read_important_files`: Reads and returns the contents of specified files in a repository
2. Technical Implementation:
a. Dependencies:
- Uses `fastmcp` for creating an MCP server
- Uses `gitpython` for Git repository operations
- Requires Python 3.8+
b. Key Functions:
`clone_repo(repo_url: str) -> str`:
- Creates a deterministic temporary directory based on the repository URL's hash
- Checks if the repository is already cloned
- If not, clones the repository
- Handles error cases and cleanup
- Returns the path to the cloned repository
`get_directory_tree(path: str, prefix: str = "") -> str`:
- Recursively generates a tree-like directory structure
- Skips `.git` directories
- Uses Unicode box-drawing characters to create a visual tree representation
- Handles sorting of entries
`github_directory_structure(repo_url: str) -> str`:
- Clones the repository
- Generates directory tree
- Cleans up the temporary repository after processing
- Returns the tree structure or an error message
`github_read_important_files(repo_url: str, file_paths: List[str]) -> dict[str, str]`:
- Clones the repository
- Reads specified files
- Returns a dictionary mapping file paths to their contents
- Handles file reading errors
- Cleans up the temporary repository
3. Error Handling:
- Uses try-except blocks to handle repository cloning, file reading errors
- Ensures temporary directories are always cleaned up using `finally` blocks
- Returns descriptive error messages
4. Performance Optimizations:
- Uses a hash-based temporary directory naming to potentially reuse cloned repositories
- Checks for existing repositories before cloning
- Implements cleanup to prevent accumulation of temporary files
5. Unique Features:
- Deterministic temporary directory creation
- Unicode tree representation
- Flexible file reading with error handling
6. Execution:
- Can be run as a CLI tool via `mcp-git-ingest`
- Configured through `pyproject.toml`
- Depends on `fastmcp` for MCP server functionality
The code is a robust, flexible tool for programmatically exploring and reading GitHub repositories, with a focus on error handling and clean implementation.
Would you like me to elaborate on any specific aspect of the implementation?
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一个开放协议,规定了 AI 应用如何以统一方式连接外部工具与数据源。客户端负责与模型对话,MCP 服务负责提供工具、资源和提示模板,两者通过标准消息通信,同一个服务可以被不同客户端复用。