Llmxray MCP Server

by lognebudoio.github.LogneBudo/llmxrayv0.8.6

What went wrong with your own Ollama calls, in sentences with the fix. Local, read-only.

24Node.jsstdioofficial registry

context tax

pending

security

pending

cold start

pending

freshness

pending

Our reading of Llmxray, from the data

Llmxray is a ai & llm tools MCP server from lognebudo, listed in the official MCP Registry.

We haven't measured its tool list yet, so its token cost is unknown.

With 24 GitHub stars it ranks #346 of 3,169 ai & llm tools servers we index.

It runs locally on your machine over stdio.

Install Llmxray MCP server

claude mcp add llmxray -- npx -y llmxray

{
  "mcpServers": {
    "llmxray": {
      "command": "npx",
      "args": [
        "-y",
        "llmxray"
      ]
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).

{
  "mcpServers": {
    "llmxray": {
      "command": "npx",
      "args": [
        "-y",
        "llmxray"
      ]
    }
  }
}

Settings → Developer → Edit Config (claude_desktop_config.json), then restart.

{
  "servers": {
    "llmxray": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "llmxray"
      ]
    }
  }
}

Add to .vscode/mcp.json in your workspace.

{
  "mcpServers": {
    "llmxray": {
      "command": "npx",
      "args": [
        "-y",
        "llmxray"
      ]
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json.

Configuration

Variable	Required	Secret	Description
LLMXRAY_URL	—	—	The running LLMxRay server the tools read from (start it with `npx llmxray`).
OLLAMA_URL	—	—	The Ollama daemon, for the list_local_models tool.

Freshness

Not enough public signals yet to judge maintenance.

Last commit (default branch)
2026-10-18 · today · GitHub
Latest release
2026-10-16 · 2d ago · GitHub · v0.8.6
Package published
no data · npm/PyPI
Registry entry updated
2026-10-16 · 2d ago · official registry · v0.8.6

How it compares in AI & LLM Tools

Against the most-starred ai & llm tools servers we index. Token cost is per model turn, measured from each server's live tool list.

Server	Stars	Tools	Tokens / turn	Freshness	Runs
Llmxray (this)	24	—	not measured	—	local
Memory	91,356	—	not measured	Active	local
Claude Flow	76,638	—	not measured	Active	local
Next AI Draw.io	36,318	—	not measured	—	local
Serena Agent	30,371	—	not measured	Active	local
Trycua	30,160	—	not measured	Active	—

All ai & llm tools MCP servers

FAQ

›How do I install the Llmxray MCP server in Claude Code?

Run: claude mcp add llmxray -- npx -y llmxray. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does Llmxray require an API key?

No required environment variables are declared in its published metadata.

›Can I use Llmxray as a remote (hosted) MCP server?

No hosted endpoint is published; it runs locally over stdio.

›Is Llmxray in the official MCP registry?

Yes, as io.github.LogneBudo/llmxray.

Sources and method

Official MCP Registry entry: updated 2026-10-16
GitHub repository: fetched 2026-10-19
Package registry (npm / PyPI): listed
Last checked against all sources: 2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.