Algorand
** - A comprehensive MCP server for tooling interactions(40+) and resource accessibility(60+) plus many useful prompts to interact with Algorand Blockchain.
What is Algorand?
Algorand is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ** - a comprehensive mcp server for tooling interactions(40+) and resource accessibility(60+) plus many useful prompts to interact with algorand blockchain.
** - A comprehensive MCP server for tooling interactions(40+) and resource accessibility(60+) plus many useful prompts to interact with Algorand Blockchain.
This server falls under the Finance & Fintech category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- ** - A comprehensive MCP server for tooling interactions(40+
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx algorand-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Algorand
The Algorand MCP Server is a comprehensive TypeScript MCP server that gives AI assistants full programmatic access to the Algorand blockchain through 40+ tools and 60+ resources. It covers wallet management with OS keychain encryption, transaction building and signing, Algod and Indexer API access, NFDomains name resolution, Tinyman AMM liquidity operations, the Haystack DEX router, Pera Wallet asset verification, and Alpha Arcade prediction market trading — all from a single MCP connection. Developers and DeFi users can interact with Algorand mainnet, testnet, or a local devnet through natural-language prompts without writing any blockchain code.
Prerequisites
- Node.js 18+ and npm installed
- An Algorand node or access to public Algod/Indexer endpoints (mainnet/testnet nodes are built in)
- Optional: ALGORAND_TOKEN for private node authentication, ALPHA_API_KEY for Alpha Arcade tools
- An MCP client such as Claude Desktop or Claude Code
- Optional: Algorand LocalNet running at http://localhost:4001 for local development
Install the Algorand MCP package globally
Install the official @goplausible/algorand-mcp package from npm. This gives you the algorand-mcp binary used in the MCP config.
npm install -g @goplausible/algorand-mcpVerify the installation
Confirm the package installed correctly and the binary is accessible.
npx @goplausible/algorand-mcp --versionAdd to your MCP client configuration
Edit your claude_desktop_config.json (or .mcp.json for Claude Code) to register the Algorand MCP server. No API keys are required for public mainnet/testnet access.
{
"mcpServers": {
"algorand-mcp": {
"type": "stdio",
"command": "npx",
"args": ["@goplausible/algorand-mcp"]
}
}
}Optionally configure private node or Alpha Arcade access
If you run a private Algorand node or want Alpha Arcade prediction market tools, add the relevant environment variables to your config.
{
"mcpServers": {
"algorand-mcp": {
"type": "stdio",
"command": "npx",
"args": ["@goplausible/algorand-mcp"],
"env": {
"ALGORAND_TOKEN": "your-node-api-token",
"ALGORAND_LOCALNET_URL": "http://localhost:4001",
"ALPHA_API_KEY": "your-alpha-arcade-key"
}
}
}
}Restart your MCP client and verify tools
Restart Claude Desktop or your chosen client. Ask the AI to list available Algorand tools — you should see tools from all categories: wallet, transactions, Algod, Indexer, NFDomains, Tinyman, and more.
Algorand Examples
Client configuration
claude_desktop_config.json entry for Algorand MCP Server using npx for zero-install setup.
{
"mcpServers": {
"algorand-mcp": {
"type": "stdio",
"command": "npx",
"args": ["@goplausible/algorand-mcp"],
"env": {
"ALPHA_API_KEY": "your-alpha-arcade-api-key"
}
}
}
}Prompts to try
Sample prompts to use with the Algorand MCP Server connected in your AI assistant.
- "Get account info for address AAAA...ZZZZ on testnet"
- "Create a new Algorand wallet and store it securely in the OS keychain"
- "Look up the NFDomain name for Algorand address XYZ on mainnet"
- "Check the Tinyman pool quote for swapping 100 ALGO to USDC on mainnet"
- "Search the Indexer for all transactions from account AAAA in the last 1000 rounds"
- "Build and sign a payment transaction of 1 ALGO from my wallet to address XYZ on testnet"Troubleshooting Algorand
npx @goplausible/algorand-mcp fails with ENOENT or permission error
Run 'npm install -g @goplausible/algorand-mcp' first to cache the package, then use the global binary in your config. Alternatively, point the command to 'node' and args to the installed package's main entry point.
Algod or Indexer API calls fail with connection refused
The server uses public Algorand endpoints for mainnet and testnet by default. If you see connection errors, ensure you are not behind a firewall blocking HTTPS to Algorand API nodes. For LocalNet, verify it is running and ALGORAND_LOCALNET_URL is set correctly.
Wallet creation fails or keys are not persisted
The wallet uses the OS keychain (macOS Keychain, Windows Credential Manager, Linux Secret Service). Ensure your OS keychain service is running and accessible. On Linux, install and start gnome-keyring or kwallet.
Frequently Asked Questions about Algorand
What is Algorand?
Algorand is a Model Context Protocol (MCP) server that ** - a comprehensive mcp server for tooling interactions(40+) and resource accessibility(60+) plus many useful prompts to interact with algorand blockchain. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Algorand?
Follow the installation instructions on the Algorand GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Algorand?
Algorand works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Algorand free to use?
Yes, Algorand is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up Algorand in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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