What are the runtime requirements?

Coderag requires Node.js (to run via `npx`) or bun (via `bunx`). No persistent database or external services are needed; the index is built in memory from the specified root directory.

Where does indexed data live?

All indexing is performed in memory at startup from the codebase root specified by `--root`. No data is stored to disk by the server itself.

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Coderag MCP Server

Lightning-fast semantic code search with AST chunking (15+ languages) - Hybrid TF-IDF + Vector, MCP-ready for AI assistants

Remote serverstreamable-httpTypeScript

What is the Coderag MCP Server?

Lightning-fast semantic code search with AST chunking (15+ languages) - Hybrid TF-IDF + Vector, MCP-ready for AI assistants

What the server does

This repository is product SSOT. Sibling agent tools live in separate repos (Citra · Iris · Cue · Spine · Lookout · Locus).

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
query	string
limit	number
include_content	boolean
file_extensions	string[]
path_filter	string
exclude_paths	string[]

How to install the Coderag MCP Server

{
  "mcpServers": {
    "server-sylphxai": {
      "command": "npx",
      "args": ["-y", "@sylphx/locus"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Example prompts to try

“Use Coderag to Local-first.”
“Use Coderag to Doc.”
“Use Coderag to Job.”

Frequently asked questions

Coderag indexes project source files and provides a TF‑IDF‑based search tool (`codebase_search`) that returns ranked code snippets optimized for consumption by large language models.

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