Velocirag MCP Server

_Four-layer retrieval fusion powered by ONNX Runtime. No PyTorch. Sub-200ms warm search. Incremental graph updates. MCP-ready._

Local serverstdioPython

What is the Velocirag MCP Server?

Four-layer retrieval fusion powered by ONNX Runtime. No PyTorch. Sub-200ms warm search. Incremental graph updates. MCP-ready.

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Maintainer setup documentation.

How to install the Velocirag MCP Server

{
  "mcpServers": {
    "velocirag": {
      "command": "velocirag",
      "args": [
        "mcp"
      ],
      "env": {
        "VELOCIRAG_DB": "/path/to/data"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

VariableDescriptionRequired
VELOCIRAG_DBDeclared in the maintainer’s client configuration.Check documentation

Frequently asked questions

_Four-layer retrieval fusion powered by ONNX Runtime. No PyTorch. Sub-200ms warm search. Incremental graph updates. MCP-ready._ Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.