Sourcerer MCP enables AI agents to perform semantic code search and navigation, reducing token usage by jumping directly to relevant functions, classes, and code chunks. Benefits developers and operations teams by improving efficiency in code analysis and navigation tasks. Connects to Claude agents via Model Context Protocol.
git clone https://github.com/st3v3nmw/sourcerer-mcp.gitSourcerer MCP enables AI agents to perform semantic code search and navigation, reducing token usage by jumping directly to relevant functions, classes, and code chunks. Benefits developers and operations teams by improving efficiency in code analysis and navigation tasks. Connects to Claude agents via Model Context Protocol.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/st3v3nmw/sourcerer-mcpCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as a sourcerer-mcp for semantic code search and navigation. I want to find all instances where [COMPANY] uses [FUNCTIONALITY] in [PROGRAMMING_LANGUAGE]. Provide the file paths, line numbers, and a brief description of the context. Also suggest potential improvements or optimizations for this functionality.
# Semantic Code Search Results for [FUNCTIONALITY] in [PROGRAMMING_LANGUAGE] ## Found Instances 1. **File Path**: `/src/utils/validation.js` **Line Numbers**: 42-58 **Context**: Input validation for user registration **Description**: Uses regex patterns to validate email and password formats. **Suggested Improvement**: Consider using a dedicated validation library like `validator.js` for better maintainability. 2. **File Path**: `/src/api/controllers/userController.js` **Line Numbers**: 123-135 **Context**: User registration endpoint **Description**: Calls the validation function and handles the registration logic. **Suggested Improvement**: Implement proper error handling for validation failures. ## Summary - Total instances found: 2 - Suggested improvements: 2 - Estimated token savings: ~150 tokens by using dedicated libraries and proper error handling.
Cloud ETL platform for non-technical data integration
IronCalc is a spreadsheet engine and ecosystem
Business communication and collaboration hub
Customer feedback management made simple
Enterprise workflow automation and service management platform
Automate your spreadsheet tasks with AI power
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan