
velocirag
MCP server by github.com/haseebkhalid1507/velocirag
Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.
About velocirag
velocirag is an MCP (Model Context Protocol) server published by haseebkhalid1507 in the official MCP registry, listed under Search on Loomal. Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.
It ships as a Python package on PyPI (velocirag), so any MCP client that can launch a local process can run it.
Development happens in the open at github.com/haseebkhalid1507/velocirag, where the project has earned 10 GitHub stars.
Use velocirag with your agent
claude mcp add velocirag -- uvx velocirag{
"mcpServers": {
"velocirag": {
"command": "uvx",
"args": [
"velocirag"
]
}
}
}velociragFrequently asked questions
- What is velocirag?
- velocirag is an MCP (Model Context Protocol) server by haseebkhalid1507 in the Search category. Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.
- How do I connect velocirag to Claude, Cursor, or another MCP client?
- Install velocirag from its pypi package (velocirag) and register it under "mcpServers" in your client's MCP configuration — for example claude_desktop_config.json or Cursor's mcp.json — then restart the client.
- Is velocirag open source?
- Yes — the source code is public at github.com/haseebkhalid1507/velocirag, with 10 GitHub stars.
- Can AI agents pay to use velocirag?
- Not yet through Loomal — velocirag is listed as a free directory entry. If its maintainer verifies ownership, they can set per-call USDC pricing that agents pay over x402, with settlement on Base.
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Listing data from the official MCP registry and GitHub, refreshed periodically. Not affiliated with the maintainer unless claimed. Maintain velocirag? Claim this listing free by verifying GitHub ownership, or contact us.