Integrates Sourcegraph's universal code search capabilities with AI assistants using the Model Context Protocol (MCP).
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This MCP server seamlessly connects AI assistants with Sourcegraph, a powerful platform for searching across vast codebases. It enables AI tools to perform advanced code searches using Sourcegraph's query language, understand code patterns, and fetch repository content. This particular fork is actively maintained, offering critical bug fixes, Python 3.12+ compatibility, enhanced configurability via environment variables, and an upgraded FastMCP dependency compared to its upstream counterpart.
Key Features
01AI-enhanced code search using Sourcegraph
02Support for advanced query syntax (regex, filters, boolean operators)
03Designed for seamless LLM integration with guided search prompts
04Python 3.10+ and 3.12+ compatibility
050 GitHub stars
06Repository discovery and content fetching
Use Cases
01Facilitating AI-driven code understanding and content retrieval from Sourcegraph instances
02Providing AI with context for code pattern analysis across multiple repositories
03Enabling AI code assistants (e.g., Cursor, Claude Code, Codex CLI, Gemini CLI) to search codebases
