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
: Help us reach more developers and grow the Helix community. Star this repo!
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
- Vectorchord
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.
Related MCP Servers
- -securityAlicense-qualityAn MCP server that implements Claude Code-like functionality, allowing the AI to analyze codebases, modify files, execute commands, and manage projects through direct file system interactions.Last updated -224PythonMIT License
- -securityAlicense-qualityAn MCP server that analyzes codebases and generates contextual prompts, making it easier for AI assistants to understand and work with code repositories.Last updated -10PythonMIT License
- AsecurityFlicenseAqualityAn MCP server that supercharges AI assistants with powerful tools for software development, enabling research, planning, code generation, and project scaffolding through natural language interaction.Last updated -1159TypeScript
- AsecurityFlicenseAqualityAn MCP server that enhances AI agents' coding capabilities by providing zero hallucinations, improved code quality, security-first approach, high test coverage, and efficient context management.Last updated -15669TypeScript