Mammoth 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.

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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

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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]"
      }
    }
  }
}

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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"]
    }
  }
}

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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 }
});

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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

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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.

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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.

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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.

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SDK

For direct programmatic access (without MCP):

npm install @mammoth-protocol/sdk

SDK docs →

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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

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MIT — Kelvinsinferno Studio