Chunker MCP processes source code files by splitting them into manageable chunks using LangChain and stores the chunks with metadata in ChromaDB for easy retrieval.
Added on:
Created by:
Apr 21 2025
Chunker MCP processes source code files by splitting them into manageable chunks using LangChain and stores the chunks with metadata in ChromaDB for easy retrieval.
Added on:
Created by:
Apr 21 2025
Tarjei Romtveit
Featured
What is Chunker MCP?
This MCP server utilizes LangChain's RecursiveCharacterTextSplitter to divide source code files into smaller, manageable chunks, including line range metadata. The resulting chunks are stored in a ChromaDB vector database, enabling efficient semantic search and code analysis. It supports multiple programming languages, provides CLI tools for chunking and vectorization, and facilitates querying chunks based on content. The server can be integrated with tools like Claude for desktop environment, ensuring seamless code management, indexing, and retrieval activities in development workflows.
Who will use Chunker MCP?
- Software developers
- Code researchers
- Data scientists working on code analysis
- DevOps engineers managing code indexing
- Educational institutions offering programming courses
How to use the Chunker MCP?
- Step 1: Install the MCP server and dependencies.
- Step 2: Set up ChromaDB via Docker if not already running.
- Step 3: Run the MCP server to enable chunking and storage.
- Step 4: Use CLI commands to process your source code directory and specify the language.
- Step 5: Query stored code chunks using search queries to retrieve relevant segments.
Chunker MCP's Core Features & Benefits
The Core Features
- Chunks source code files using LangChain's recursive splitter
- Stores chunks with line range and file path metadata in ChromaDB
- Supports multiple programming languages
- Command-line interface for chunking and querying
- Asynchronous batch inserting into vector database
The Benefits
- Enables efficient code retrieval and search
- Supports large codebases with metadata for precise navigation
- Integrates easily with IDEs and development workflows
- Facilitates semantic code search and analysis
Chunker MCP's Main Use Cases & Applications
- Automated code documentation generation
- Semantic search in large code repositories
- Code review and analysis tools
- Educational tools for code learning
- Indexing for code search engines
FAQs of Chunker MCP
Developer
- tarjeir
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