The Gitingest MCP Server integrates with AI assistants via Model Context Protocol (MCP) to analyze and ingest Git repositories into a structured text format.

• Repository Analysis: Analyzes repositories from URLs or local paths, providing codebase insights

• Flexible Filtering: Supports filtering by file size (max_file_size), patterns (include_patterns, exclude_patterns), and specific branches

• Structured Output: Returns repository summaries, file tree structures, and content in an AI-friendly format

• Multiple Installation Options: Available via PyPI, GitHub, or local installation with configurable settings

Analyzes Git repositories and transforms them into structured text digests, supporting filtering by file size, patterns, and branches to help AI assistants understand codebases.

Enables ingestion of GitHub repositories, extracting repository summaries, file structures, and content to provide comprehensive codebase insights.

Supports installation through PyPI, allowing the server to be easily integrated with AI assistants via package management.

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Gitingest MCP Server analyze the repository at https://github.com/example/project and give me a summary of its structure"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.

{
 "mcpServers": {
 "gitingestmcp": {
 "command": "uvx",
 "args": ["gitingestmcp@latest"]
 }
 }
}

{
 "mcpServers": {
 "gitingestmcp": {
 "command": "uvx",
 "args": [
 "--from",
 "git+https://github.com/narumiruna/gitingest-mcp",
 "gitingestmcp"
 ]
 }
 }
}

{
 "mcpServers": {
 "gitingestmcp": {
 "command": "uv",
 "args": [
 "run",
 "--directory",
 "/home/<user>/workspace/gitingest-mcp",
 "gitingestmcp"
 ]
 }
 }
}