This MCP server indexes codebases by parsing source files into structural metadata and exposes 18 query tools via the Model Context Protocol for efficient navigation of codebases.
From the registry: Structural codebase indexer with 17 query tools. 87% token reduction. Zero dependencies.
$ pip install "mcp-codebase-index[mcp]"Please install the `mcp-codebase-index` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python 3.11+** — Required runtime (https://www.python.org/downloads/)
- **Install package** — Install mcp-codebase-index with MCP extras Run: `pip install "mcp-codebase-index[mcp]"`
Canonical MCP server config (stdio transport):
- command: `mcp-codebase-index`
- args: []
- required environment variables:
- `PROJECT_ROOT`: Directory to index (example: `/path/to/project`)
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.PROJECT_ROOTrequiredSpecifies which directory to index.Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.