Occultron MCP Server

io.github.luckyjupiter/occultronv0.1.0

Crypto-paid uncensored LLM inference with signed execution receipts. No account.

Dockerstdioofficial registry

context tax

pending

security

pending

cold start

pending

freshness

Active3d ago

Our reading of Occultron, from the data

Occultron is a ai & llm tools MCP server, listed in the official MCP Registry.

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

Maintenance is active: the last public signal was 3 days ago (2026-10-15). For comparison, 59% of ai & llm tools servers are active or maintained.

It runs locally on your machine over stdio.

Install Occultron MCP server

claude mcp add occultron -- docker run -i --rm ghcr.io/luckyjupiter/occultron-mcp:0.1.0

{
  "mcpServers": {
    "occultron": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/luckyjupiter/occultron-mcp:0.1.0"
      ]
    }
  }
}

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

{
  "mcpServers": {
    "occultron": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/luckyjupiter/occultron-mcp:0.1.0"
      ]
    }
  }
}

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

{
  "servers": {
    "occultron": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/luckyjupiter/occultron-mcp:0.1.0"
      ]
    }
  }
}

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

{
  "mcpServers": {
    "occultron": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/luckyjupiter/occultron-mcp:0.1.0"
      ]
    }
  }
}

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

Configuration

Variable	Required	Secret	Description
OCCULTRON_BASE_URL	—	—	Gateway base URL (default https://occultron.app)

Freshness

Active — last maintenance signal 3d ago. The newest of the signals below sets the band.

Last commit (default branch)
no data · GitHub
Latest release
no data · GitHub
Package published
no data · npm/PyPI
Registry entry updated
2026-10-15 · 3d ago · official registry · v0.1.0

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
Occultron (this)	—	—	not measured	Active	local
Memory	91,356	—	not measured	Active	local
Claude Flow	76,638	—	not measured	Active	local
Next AI Draw.io	36,318	—	not measured	Active	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 Occultron MCP server in Claude Code?

Run: claude mcp add occultron -- docker run -i --rm ghcr.io/luckyjupiter/occultron-mcp:0.1.0. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does Occultron require an API key?

No required environment variables are declared in its published metadata.

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

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

›Is Occultron in the official MCP registry?

Yes, as io.github.luckyjupiter/occultron.

Sources and method

Official MCP Registry entry: updated 2026-10-15
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.