st3v3nmw/sourcerer-mcp

MCP for semantic code search & navigation that reduces token waste

42
/ 100
Emerging

This tool helps AI agents efficiently navigate and understand large codebases. Instead of processing entire files, it allows agents to semantically search for specific functions, classes, or code chunks they need. The input is your Git repository, and the output is a more focused interaction with your code for AI agents, reducing token usage. Software developers or AI engineers who use AI agents for code-related tasks would find this project useful.

107 stars.

Use this if you are a software developer or AI engineer looking to make your AI agents interact with codebases more efficiently and cost-effectively, reducing the need for them to process entire files.

Not ideal if you are looking for a standalone code search tool for human use or do not integrate AI agents into your development workflow.

AI-assisted development code navigation developer tools AI agent efficiency software engineering
No Package No Dependents
Maintenance 6 / 25
Adoption 9 / 25
Maturity 15 / 25
Community 12 / 25

How are scores calculated?

Stars

107

Forks

11

Language

Go

License

MIT

Last pushed

Nov 10, 2025

Commits (30d)

0

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