jCodeMunch MCP provides structured code retrieval for AI agents, allowing them to efficiently access specific code elements without scanning entire files. It significantly reduces token usage in retrieval-heavy workflows.
From the registry: Token-efficient code exploration via tree-sitter AST parsing. 25+ languages, 95%+ token savings.
Please install the `jcodemunch-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install uv (for uvx)** — uvx resolves the package on demand without relying on system PATH. (https://github.com/astral-sh/uv)
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["jcodemunch-mcp"]
Note: Free for personal use; commercial use requires a paid license. Optional extras (jcodemunch-mcp[local-embed], [anthropic], etc.) enable semantic search / AI summaries.
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.Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.