Enables indexing and searching of public Git repositories to build snippet libraries for LLM ingestion
Provides access to repositories on GitHub for code indexing and snippet generation
Enables secure, private LLM processing through Helix.ML's platform for enterprise-grade code assistance
Supports integration with OpenAI's models for semantic search and code assistance capabilities
Uses SQLite as a database backend for storing and retrieving code snippets and indices
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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
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
NEW in 0.3: Auto-indexing configuration for shared server deployments
NEW in 0.3: Enhanced Git provider support including Azure DevOps
NEW in 0.3: Index private repositories via a PAT
NEW in 0.3: Improved progress monitoring and reporting during indexing
NEW in 0.3: Advanced code slicing infrastructure with Tree-sitter parsing
NEW in 0.4: 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
Tested and verified with:
Please contribute more instructions! ... any other assistant is likely to work ...
New in 0.3: Advanced search filters by source, language, author, date range, and file path
New in 0.3: Hybrid search combining BM25 keyword search with semantic search
New in 0.4: Enhanced MCP tools with rich context parameters and metadata
Hosted MCP Server
New in 0.4: Try Kodit instantly with our hosted MCP server at https://kodit.helix.ml/mcp! No installation required - just add it to your AI coding assistant and start searching popular codebases immediately.
The hosted server provides:
Pre-indexed popular open source repositories
Zero configuration - works out of the box
Same powerful search capabilities as self-hosted Kodit
Perfect for trying Kodit before setting up your own instance
Find out more in the hosted Kodit documentation.
Enterprise Ready
Out of the box, Kodit works with a local SQLite database and very small, local models. But enterprises can scale out with performant databases and dedicated models. Everything can even run securely, privately, with on-premise LLM platforms like Helix.
Supported databases:
SQLite
Supported providers:
Local (which uses tiny CPU-only open-source models)
OpenAI
Secure, private LLM enclave with Helix.
Any other OpenAI compatible API
NEW in 0.3: Enhanced deployment options:
Docker Compose configurations with VectorChord
Kubernetes manifests for production deployments
Quick Start
Documentation
Roadmap
The roadmap is currently maintained as a Github Project.
💬 Support
For commercial support, please contact Helix.ML. To ask a question, please open a discussion.
License
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A Code Indexing MCP Server that connects AI coding assistants to external codebases, providing accurate and up-to-date code snippets to reduce mistakes and hallucinations.
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