context-lens

Overview

Context Lens transforms any content into a searchable knowledge base for AI assistants using semantic search. It's a self-contained MCP server with built-in vector storage that understands meaning rather than just matching keywords. The tool uses LanceDB as a serverless vector database, making it completely local and private with no external API calls required. It supports multiple file formats with smart parsing that preserves code structure and creates meaningful chunks for better search results.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• add_document

  Add files, folders, or GitHub URLs to the knowledge base

  Try:Add all Python files from ./src to the knowledge baseTry:Add https://github.com/fastapi/fastapi to the knowledge baseTry:Add ./legal/contracts to the knowledge base
• search_documents

  Semantic search across all indexed content

  Try:How does the authentication system work?Try:Find all termination clauses in the contractsTry:Show me all the database models
• list_documents

  Browse all indexed documents

  Try:Show me all the documents in the knowledge baseTry:List all added repositories
• get_document_info

  Get metadata about a specific document

  Try:Tell me about the fastapi repository documentTry:Get information about the contracts document
• remove_document

  Remove specific documents from the knowledge base

  Try:Remove the fastapi repositoryTry:Delete the contracts document
• clear_knowledge_base

  Remove all documents from the knowledge base

  Try:Clear everything from the knowledge baseTry:Remove all indexed documents

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Installation

pip install context-lens

{
  "mcpServers": {
    "context-lens": {
      "command": "uvx",
      "args": ["context-lens"]
    }
  }
}

{
  "mcpServers": {
    "context-lens": {
      "command": "uvx",
      "args": ["context-lens"]
    }
  }
}

{
  "mcpServers": {
    "context-lens": {
      "command": "uvx",
      "args": ["context-lens"]
    }
  }
}

FAQ

What file types does Context Lens support?

Context Lens supports 25+ file types including Python, JavaScript/TypeScript, JSON, YAML, Markdown, Rust, and many more text-based formats. Maximum file size is 10MB.

How does Context Lens handle different programming languages?

Context Lens uses smart parsing tailored to each language. For Python, it parses using AST; for JSON/YAML it parses structurally; for Markdown it splits by headers. This preserves natural structure and creates meaningful chunks.

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