Ranla MCP Server

by super-send

Ranla MCP server — mail + Ranla agent tools for Cursor and Claude

Node.jsstdio

context tax

pending

security

pending

cold start

pending

freshness

pending

Our reading of Ranla, from the data

Ranla is a ai & llm tools MCP server from super-send.

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

It runs locally on your machine over stdio.

Install Ranla MCP server

claude mcp add ranla-super-send -- npx -y ranla-mcp

{
  "mcpServers": {
    "ranla-super-send": {
      "command": "npx",
      "args": [
        "-y",
        "ranla-mcp"
      ]
    }
  }
}

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

{
  "mcpServers": {
    "ranla-super-send": {
      "command": "npx",
      "args": [
        "-y",
        "ranla-mcp"
      ]
    }
  }
}

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

{
  "servers": {
    "ranla-super-send": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ranla-mcp"
      ]
    }
  }
}

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

{
  "mcpServers": {
    "ranla-super-send": {
      "command": "npx",
      "args": [
        "-y",
        "ranla-mcp"
      ]
    }
  }
}

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

Freshness

Not enough public signals yet to judge maintenance.

Last commit (default branch)
no data · GitHub
Latest release
no data · GitHub
Package published
no data · npm/PyPI
Registry entry updated
no data · official registry

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
Ranla (this)	—	—	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	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 Ranla MCP server in Claude Code?

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

›Does Ranla require an API key?

No required environment variables are declared in its published metadata.

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

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

›Is Ranla in the official MCP registry?

No. It was indexed from npm.

Sources and method

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.