Keep your coding agent. Make it cheaper.
CodeMesh is a context optimization layer for AI coding agents. It helps agents understand a codebase without repeatedly searching, opening and reading large amounts of source code, allowing them to work with more precise repository context and dramatically fewer unnecessary tokens.
CodeMesh works alongside the AI coding tools developers already use.
What attaching CodeMesh looks like
The same exchange happens whichever tool you use, because they all reach CodeMesh over MCP: a question, the structural calls that answer it, and an answer. The tool pages below cover only what is specific to each one.
Claude Code
Reduce unnecessary repository context in Claude Code by connecting it to CodeMesh over MCP.
Cursor
Give Cursor's AI features more precise structural repository context instead of relying on broad file search.
Devin (formerly Windsurf)
Optimize the code context Devin's Cascade agent works with using CodeMesh's structural repository intelligence.
VS Code
Install CodeMesh's own VS Code extension and pair it with whichever AI coding tool you use inside VS Code.
MCP
The open protocol underneath every CodeMesh integration, and the six tools CodeMesh exposes through it.
No new coding workflow to learn. CodeMesh becomes the context layer underneath your existing AI development workflow.
Connect your repository to CodeMesh
Install the extension, open a repository, and connect the coding agent you already use.