Standard code base search in coding agents like OpenCode can be very limited. To improve my daily workflow, I needed more advanced features like semantic search, call graphs, or an architectural overview.
I discovered the codebase-memory-mcp on GitHub a few months ago. It’s a single, static binary that enhances code base search in your coding agent.
How to install?
To get started, download the latest release from GitHub and install the binary on your machine.
You can choose between the CLI-only version and the UI variant with 3D graph visualization. For now, I opted for the simple CLI-only version.
How to configure OpenCode?
To integrate codebase-memory-mcp with OpenCode, add the following MCP (Memory Computation Protocol) configuration to your OpenCode config file:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"codebase-memory-mcp": {
"type": "local",
"command": ["/usr/local/bin/codebase-memory-mcp"],
"enabled": true
}
}
}
How to use codebase-memory-mcp?
It starts with indexing a new codebase. Run the command Index this project to start this process. Once the indexing is complete, OpenCode will start searching for code via the codebase-memory-mcp server.
Conclusion
I’m impressed with codebase-memory-mcp’s simplicity and ease of use. As a single, static binary, it’s easy to install and works well with our PHP projects (Symfony/Sylius).
Not using PHP? No worries, it supports about 158 languages, making it a versatile tool for any development team. Furthermore, it’s not limited to just programming languages; it also handles Infrastructure-as-code indexing, including Dockerfiles and Kubernetes manifests.
Overall, codebase-memory-mcp has become an indispensable tool in my development workflow, and I highly recommend it to any developer or team looking to supercharge their code search and management capabilities.