srclight/srclight
by Various
Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerate
MCP
srclight/srclight
Added 1 June 2026
Overview
A deep code indexing MCP server for AI agents. It provides 25 tools including hybrid FTS5 and embedding search, call graphs, git blame/hotspots, and build system analysis. It supports multi-repo workspaces, GPU-accelerated semantic search, and 10 languages via tree-sitter, all fully local with no cloud dependencies.
Best for
Best for
Developers and AI agent builders who need a local, privacy-preserving code indexing server
Use cases
- Enabling AI agents to navigate and understand large codebases
- Performing semantic code search with GPU acceleration
- Analyzing build systems and git history for hotspots
Notes
A deep code indexing MCP server for AI agents. It provides 25 tools including hybrid FTS5 and embedding search, call graphs, git blame/hotspots, and build system analysis. It supports multi-repo workspaces, GPU-accelerated semantic search, and 10 languages via tree-sitter, all fully local with no cloud dependencies.
44 stars on GitHub. Last updated 2026-04-27. Licensed MIT.
Use cases
- Enabling AI agents to navigate and understand large codebases
- Performing semantic code search with GPU acceleration
- Analyzing build systems and git history for hotspots
Pros
- Fully local with no cloud dependencies ensures privacy and offline use
- Wide range of tools from search to call graphs and git analysis
- GPU-accelerated semantic search for fast code retrieval
Cons
- Small community and limited adoption may mean fewer resources
- GPU acceleration required for optimal performance, not available on all setups
- Language support limited to 10 languages via tree-sitter
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Fully local with no cloud dependencies ensures privacy and offline use
- Wide range of tools from search to call graphs and git analysis
- GPU-accelerated semantic search for fast code retrieval
Cons
- Small community and limited adoption may mean fewer resources
- GPU acceleration required for optimal performance, not available on all setups
- Language support limited to 10 languages via tree-sitter
Pairs with
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