Mammoth MCP Server

Mammoth MCP Server

Enables LLM agents to interact with the Mammoth Protocol on Solana for discovering cycles, getting quotes, and executing buys via bounded-curve mechanics.

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README

@mammoth-protocol/mcp-server

MCP (Model Context Protocol) server for Mammoth Protocol.

Makes Mammoth a native tool for any LLM agent — Claude, GPT, Gemini, Eliza, Virtuals, ai16z, and any other MCP-compatible system. No custom integration per agent. One server, all of them.


Quick Start

npx @mammoth-protocol/mcp-server

Read-only by default (discovery, quotes, snapshots). Add a wallet for buy execution:

MAMMOTH_WALLET_KEY='[your-keypair-json-array]' npx @mammoth-protocol/mcp-server

Connect to Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "mammoth": {
      "command": "npx",
      "args": ["@mammoth-protocol/mcp-server"],
      "env": {
        "SOLANA_CLUSTER": "devnet"
      }
    }
  }
}

With buy execution:

{
  "mcpServers": {
    "mammoth": {
      "command": "npx",
      "args": ["@mammoth-protocol/mcp-server"],
      "env": {
        "SOLANA_CLUSTER": "mainnet-beta",
        "SOLANA_RPC_URL": "https://your-rpc-endpoint.com",
        "MAMMOTH_WALLET_KEY": "[your,keypair,as,json,array]"
      }
    }
  }
}

Connect to Cursor / Windsurf / Cline

Add to your MCP config file (.cursor/mcp.json or equivalent):

{
  "mcpServers": {
    "mammoth": {
      "command": "npx",
      "args": ["@mammoth-protocol/mcp-server"]
    }
  }
}

Connect to a Custom Agent (Eliza, Virtuals, ai16z)

const { Client } = require('@modelcontextprotocol/sdk/client/index.js');
const { StdioClientTransport } = require('@modelcontextprotocol/sdk/client/stdio.js');

const transport = new StdioClientTransport({
  command: 'npx',
  args: ['@mammoth-protocol/mcp-server'],
  env: { SOLANA_CLUSTER: 'devnet' },
});

const client = new Client({ name: 'my-agent', version: '1.0.0' });
await client.connect(transport);

// List all open cycles
const result = await client.callTool({ name: 'mammoth_get_open_cycles', arguments: {} });
console.log(result.content[0].text);

// Get snapshot for a specific project
const snap = await client.callTool({
  name: 'mammoth_get_cycle_snapshot',
  arguments: { mintAddress: 'YOUR_MINT_ADDRESS' }
});

// Get a buy quote
const quote = await client.callTool({
  name: 'mammoth_buy_quote',
  arguments: { mintAddress: 'YOUR_MINT_ADDRESS', solAmount: 0.5 }
});

Available Tools

Tool Description
mammoth_get_open_cycles All active cycles with price, fill %, and curve type
mammoth_get_cycle_snapshot Full decision snapshot for a specific mint
mammoth_get_projects All Mammoth projects with supply mode and cycle count
mammoth_get_rights_window_cycles Cycles where rights window is currently open
mammoth_check_rights Check if a wallet has unexercised rights
mammoth_buy_quote Calculate tokens out for SOL in — no transaction
mammoth_buy_tokens Execute a buy (requires MAMMOTH_WALLET_KEY)
mammoth_protocol_reference Full protocol mechanics and parameter reference

Available Resources

URI Description
mammoth://protocol/reference Protocol constants and parameter definitions

Environment Variables

Variable Default Description
SOLANA_RPC_URL Devnet public RPC RPC endpoint (use a private endpoint for production)
SOLANA_CLUSTER devnet devnet or mainnet-beta
MAMMOTH_WALLET_KEY none Keypair as JSON array or base58 string. Required for buy execution.

Why Mammoth for AI Agents

Mammoth Protocol is designed for autonomous participation:

  • Bounded curves — deterministic pricing. A bot calculates exact cost before submitting. No AMM slippage surprises.
  • Cycle events — agents only need to act at defined moments (cycle open, rights window, close). No constant monitoring required.
  • Rights system — a bot holding from Cycle 1 gets guaranteed first access to Cycle 2 at base price. Structurally advantaged position.
  • AuthorityConfig — a principal (human or AI) can delegate specific operations to an operator bot with explicit permissions and spending limits.
No other launchpad was built for this.

For Portfolio AI Agents

If you're building an AI that manages a user's high-growth crypto allocation:

  1. Call mammoth_get_open_cycles to discover available cycles
  2. Call mammoth_get_cycle_snapshot on interesting projects
  3. Call mammoth_buy_quote to calculate exact outcome
  4. Present to user or execute autonomously (if authorized)
  5. Subscribe to CycleOpened events via the SDK for zero-latency triggers

The whole flow is programmatic. No UI. No human clicking buttons.


SDK

For direct programmatic access (without MCP):

npm install @mammoth-protocol/sdk

SDK docs →


Links

  • Protocol: https://mammoth-protocol.vercel.app
  • AI Reference: https://mammoth-protocol.vercel.app/ai-reference
  • Protocol Reference: https://mammoth-protocol.vercel.app/protocol
  • SDK: https://github.com/kelvinsinferno/mammoth-sdk

MIT — Kelvinsinferno Studio

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