Seroost Search
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Provides AI agents with powerful codebase search capabilities using the Seroost semantic search engine via the Model Context Protocol.
About
Seroost Search is a Model Context Protocol (MCP) server designed to empower AI agents with advanced codebase search functionality. It acts as a bridge, allowing AI systems like Claude or VS Code Copilot to query your code using natural language. By leveraging the Seroost semantic search engine, it quickly indexes entire codebases, including dependencies, and returns ranked, relevance-scored results with line numbers and file paths, significantly enhancing AI agents' ability to understand and interact with complex projects.
Key Features
- Semantic Code Search with natural language queries
- Ranked search results with line numbers and file paths
- Fast indexing of entire codebases including dependencies
- Seamless integration with any MCP-compatible AI system
- Structured JSON API for programmatic use
- 0 GitHub stars
Use Cases
- Integrating advanced semantic search into MCP-compatible AI systems to provide codebase context.
- Facilitating faster code discovery and contextual understanding for AI agents within large and complex codebases.
- AI agents finding functions, classes, and code patterns through natural language queries.
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