Connect

Add Pauhu to your client in two minutes.

Pauhu Fusion is a remote MCP server at mcp.pauhu.dev. Add it with the API key issued at checkout. No install, no third-party service.

EasiestPaste this prompt into your AI chat

In an agentic client (Claude Code, Cursor, Copilot agent), paste this and your assistant adds the server for you.

Add a remote MCP server named "pauhu" at https://mcp.pauhu.dev/mcp using HTTP (streamable) transport, with the header "Authorization: Bearer YOUR_KEY" (replace YOUR_KEY with the key from my Pauhu checkout). Then list the pauhu tools to confirm it connected.

Or set it up by hand, the way each provider documents it:

claude mcp add --transport http pauhu https://mcp.pauhu.dev/mcp \
  --header "Authorization: Bearer <YOUR_KEY>"

Official Claude Code MCP docs

// .vscode/mcp.json
{ "servers": { "pauhu": { "type": "http", "url": "https://mcp.pauhu.dev/mcp",
  "headers": { "Authorization": "Bearer ${input:pauhu-key}" } } } }

Official VS Code Copilot MCP docs

// .cursor/mcp.json
{ "mcpServers": { "pauhu": { "url": "https://mcp.pauhu.dev/mcp",
  "headers": { "Authorization": "Bearer ${env:PAUHU_KEY}" } } } }

Official Cursor MCP docs

# ~/.codex/config.toml
[mcp_servers.pauhu]
url = "https://mcp.pauhu.dev/mcp"
bearer_token_env_var = "PAUHU_MCP_KEY"

Official Codex MCP docs

A bounded tool

What it does, and what it does not.

What it does

Resolves an operation from a corpus of cited operations and published standards.
Composes the code deterministically, the same request giving the same result.
Never invents an API: every line traces to a cited source.
Reports the tokens and energy each call avoided, on a receipt.

What it does not

Is not a general chatbot over your code folder.
Does not replace a senior engineer.
Does not take your repository; only bounded context crosses the wire.
Does not run code or take actions on your machine.

Use cases

Where it earns its place.

Stdlib and standard ops

File, string, integer math, collections, json, http, hashing, composed from cited operations instead of guessed.

Right-API composition

Compose against published standards and library APIs, so the call uses the documented signature, not a plausible one.

Bounded AI context

Send your model only the bounded context a task needs. Less token load, less data shared.