
Local-first code intelligence
免费

Sverklo is a specialized Model Context Protocol (MCP) server designed to bring high-performance, local-first code intelligence to modern AI development environments like Claude Code and Cursor. By prioritizing local execution, Sverklo ensures that your codebase remains private while providing the AI with deep, context-aware insights into your project structure. It bridges the gap between raw file access and intelligent code understanding, allowing developers to leverage LLMs for complex refactoring, debugging, and architectural analysis without the latency or privacy concerns associated with cloud-based indexing. Sverklo is built for developers who demand speed, security, and seamless integration with their existing AI-powered coding workflows.
Processes all code indexing and analysis locally on your machine, ensuring your proprietary code never leaves your environment.
Built specifically for the Model Context Protocol, ensuring native integration with Claude Code and Cursor.
Provides AI models with a structured understanding of your project's dependencies, symbols, and architectural patterns.
Optimized for speed, allowing AI assistants to retrieve relevant code context instantly without cloud API bottlenecks.
Eliminates the need for third-party cloud indexing services, keeping your development data entirely under your control.
Install the Sverklo MCP server via your preferred package manager.,Configure your Claude Code or Cursor settings to include the Sverklo MCP server endpoint.,Initialize the server within your project root to begin local indexing.,Grant the necessary file system permissions for the tool to read your codebase.,Interact with your AI assistant in Claude Code or Cursor to query your codebase using Sverklo's context-aware capabilities.
Use Sverklo to provide the AI with a complete map of dependencies before performing large-scale code migrations.
Quickly query and understand undocumented legacy projects by letting the AI navigate your code via Sverklo's local index.
Ideal for teams working on sensitive projects where cloud-based code indexing is prohibited by security policies.
Developers looking to enhance their AI coding assistants with deeper, more reliable codebase context.
Engineering teams that require strict data privacy and cannot utilize cloud-based AI indexing tools.
Power users of Claude Code and Cursor who want to optimize their AI-assisted development workflow.
Sverklo is currently available as a free, open-source tool. Users can integrate it into their workflows at no cost, with no hidden subscription fees.