sourcerer-mcp
by st3v3nmw
MCP for semantic code search & navigation that reduces token waste
111stars
11forks
Go
Added 12/27/2025
MCP Serversclaude-codecode-analysiscode-navigationcode-searchmcp
Installation
# Add to your Claude Code skills
git clone https://github.com/st3v3nmw/sourcerer-mcpSourcerer MCP 🧙
An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need.
Demo
Requirements
- OpenAI API Key: Required for generating embeddings (local embedding support planned)
- Git: Must be a git repository (respects
.gitignorefiles) - Add
.sourcerer/to.gitignore: This directory stores the embedded vector database
Installation
Go
go install github.com/st3v3nmw/sourcerer-mcp/cmd/sourcerer@latest
Homebrew
brew tap st3v3nmw/tap
brew install st3v3nmw/tap/sourcerer
Configuration
Claude Code
claude mcp add sourcerer -e OPENAI_API_KEY=your-openai-api-key -e SOURCERER_WORKSPACE_ROOT=$(pwd) -- sourcerer
mcp.json
{
"mcpServers": {
"sourcerer": {
"command": "sourcerer",
"env": {
"OPENAI_API_KEY": "your-openai-api-key",
"SOURCERER_WORKSPACE_ROOT": "/path/to/your/project"
}
}
}
}
How it Works
Sourcerer 🧙 builds a semantic search index of your codebase:
1. Code Parsing & Chunking
- Uses Tree-sitter to parse source files into ASTs
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