AI & Machine Learning
luffy.so
An MCP server for Luffy, an AI coworker that works inside Slack, connects to 900+ tools, and ships completed work.
ENDPOINT 1
https://mcp.luffy.so/mcp
MCP server metadata
- Name
- luffy-public
- Version
- 0.1.0
Read-only public data about Luffy (luffy.so), the AI coworker for teams in Slack. Not affiliated with the One Piece character.
Known tools 5
about_luffyWhat Luffy is: an AI coworker that works inside Slack, connects to 900+ tools, and ships completed work.
Potential side effectssearch_glossarySearch Luffy's AI-at-work glossary (55+ plain-English definitions).
Inferred read-onlyget_glossary_termFull glossary entry by slug: definition, why it matters, example, FAQs, sources.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.luffy-public]
url = "https://mcp.luffy.so/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"luffy-public": {
"type": "http",
"url": "https://mcp.luffy.so/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: luffy-public
Remote MCP URL: https://mcp.luffy.so/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"luffy-public": {
"url": "https://mcp.luffy.so/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"luffy-public": {
"type": "http",
"url": "https://mcp.luffy.so/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "luffy-public",
"transport": "streamable-http",
"url": "https://mcp.luffy.so/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.