# Add to your Claude Code skills
git clone https://github.com/helixml/kodit
README.md
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<a href="https://docs.helix.ml/kodit/"><img src="https://docs.helix.ml/images/helix-kodit-logo.png" alt="Helix Kodit Logo" width="300"></a>
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Kodit: A Code Indexing MCP Server
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Kodit connects your AI coding assistant to external codebases to provide accurate and up-to-date snippets of code.
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Helix Kodit is an MCP server that connects your AI coding assistant to external codebases. It can:
Improve your AI-assisted code by providing canonical examples direct from the source
Index local and public codebases
Integrates with any AI coding assistant via MCP
Search using keyword and semantic search
Integrate with any OpenAI-compatible or custom API/model
If you're an engineer working with AI-powered coding assistants, Kodit helps by
providing relevant and up-to-date examples of your task so that LLMs make less mistakes
and produce fewer hallucinations.
Features
Codebase Indexing
Kodit connects to a variety of local and remote codebases to build an index of your
code. This index is used to build a snippet library, ready for ingestion into an LLM.
Index local directories and public Git repositories
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Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
176,037
Build comprehensive snippet libraries for LLM ingestion
Support for 20+ programming languages including Python, JavaScript/TypeScript, Java, Go, Rust, C/C++, C#, HTML/CSS, and more
Advanced code analysis with dependency tracking and call graph generation
Intelligent snippet extraction with context-aware dependencies
Efficient indexing with selective reindexing (only processes modified files)
Privacy first: respects .gitignore and .noindex files
Auto-indexing configuration for shared server deployments
Enhanced Git provider support including Azure DevOps
Index private repositories via a PAT
Improved progress monitoring and reporting during indexing
Advanced code slicing infrastructure with Tree-sitter parsing
Automatic periodic sync to keep indexes up-to-date
MCP Server
Relevant snippets are exposed to an AI coding assistant via an MCP server. This allows
the assistant to request relevant snippets by providing keywords, code, and semantic
intent. Kodit has been tested to work well with:
Seamless integration with popular AI coding assistants
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