Exposes Hound's powerful regex-based code search to AI agents like Claude Code for efficient code exploration.
Sponsored
关于
MCP-Hound acts as a bridge, integrating the lightning-fast, regex-based code search capabilities of Hound into AI agent workflows. It allows AI agents, such as Claude Code, to perform detailed code searches across indexed repositories, retrieve file context for matches, and manage repository indexing. This empowers AI agents to understand and navigate codebases more effectively, making them invaluable for tasks requiring deep code analysis.
主要功能
Support automatic Hound re-indexing via webhooks when repository changes occur.
Retrieve extended context around specific code matches, including Gitea/GitHub deep links.
List all repositories currently indexed by the Hound search engine.
Perform regex-based code searches across all indexed repositories with pagination.
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使用案例
Enable AI agents to perform complex regex-based code searches within a codebase.
Allow AI agents to query and list all indexed repositories for awareness and scope.
Provide AI agents with the ability to retrieve additional file context around code search results for deeper understanding.
