Robinhood Chain EVM Web3 MCP Server

A zero-dependency, pure Python Model Context Protocol (MCP) server specifically tailored for Robinhood Chain (and general Arbitrum Orbit Layer-2 networks).

This server acts as a Web3/EVM bridge, allowing local AI agents (e.g., Claude, Cursor, Gemini CLI) to read states, estimate gas, simulate execution, and sign/broadcast transactions directly on-chain using simple JSON-RPC tools.

Why This Matters

Traditional developers entering a newly launched blockchain (like Robinhood Chain, launched July 2026) face significant friction:

1. Context Window Bloat: Passing complex, multi-thousand-line JSON ABIs to an LLM wastes tokens and causes memory degradation.

2. AI-to-Web3 Gap: AI models cannot natively compute gas, sign transactions, or verify contract logic without extensive boilerplate code.

This tool solves both:

• Simplified Signatures: Uses a local SQLite cache to store complex ABIs, exposing only human-readable, minimal signatures (e.g., transfer(address,uint256)) to the LLM.

• Autonomous Execution: Allows the agent to query, simulate (dry-run), sign, and verify transactions autonomously when a private key is provided in the environment variables.

Related MCP server: Foundry MCP Server

🚀 Pitching for the $1M Arbitrum Open House Developer Grants

Robinhood Chain has committed $1 Million to support developer activity and ecosystem growth via the Arbitrum Open House Program.

You can use this codebase to pitch for developer grants:

1. Fork/Launch this server as a standalone open-source developer tool.

2. Build a demo dApp/agent (e.g., a "Robinhood RWA Portfolio Manager Agent" that dynamically swaps USDG stablecoin yield into tokenized stocks like AAPL/TSLA).

3. Submit to the Arbitrum / Robinhood Testnet Faucet and Open House program as an active infrastructure contribution.

🛠️ Setup Instructions (Termux / Linux)

1. Install Dependencies

pip install -r requirements.txt

2. Configure Environment variables

Create or update your ~/.env file:

# RPC Override (Default is Robinhood Mainnet)
ROBINHOOD_CHAIN_RPC_URL="https://rpc.mainnet.chain.robinhood.com"

# Private key for autonomous transaction signing (Keep this secure!)
ROBINHOOD_CHAIN_PRIVATE_KEY="0x..."

🔌 Connecting to AI Clients (MCP Setup)

1. Cursor

Go to Settings > Models > MCP and add a new server:

• Name: Robinhood-EVM-MCP

• Type: command

• Command: python /data/data/com.termux/files/home/robinhood-evm-mcp/mcp_server.py

2. Claude Desktop

Add this to your claude_desktop_config.json (usually at ~/.config/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "robinhood-evm-mcp": {
      "command": "python",
      "args": ["/data/data/com.termux/files/home/robinhood-evm-mcp/mcp_server.py"]
    }
  }
}

🛠️ Exposed MCP Tools

1. get_evm_balance(address, token_address): Fetches native ETH or ERC-20 token balance. Supports ticker overrides (USDG, AAPL, TSLA or dynamically registered tickers).

2. query_smart_contract(contract_address, function_name, args, abi_type): Executes a read-only query (call) on a smart contract.

3. simulate_evm_transaction(contract_address, function_name, args, value_wei): Dry-runs a state-changing transaction and returns estimated gas details.

4. send_evm_transaction(contract_address, function_name, args, value_wei, wait_confirm): Builds, signs, and broadcasts a transaction.

5. get_robinhood_ticker(ticker): Retrieves the verified contract address of a tokenized stock or USDG.

6. switch_rpc_network(network_name): Changes the active network configuration dynamically (options: robinhood-mainnet, robinhood-testnet, localhost).

7. register_custom_abi(contract_address, abi_json): Saves custom smart contract ABIs to the local SQLite database mapping.

8. scan_launched_tokens(force_refresh): Queries the MemeFactory smart contract on-chain to scan and index all deployed meme tokens.

9. import_custom_token(ticker, address, name, decimals): Dynamically imports custom addresses as tickers, saving them to local SQLite cache.

10. estimate_meme_trade_output(token_address, trade_type, amount): Simulates a bonding curve trade and computes expected output amount and price impact.

11. buy_meme_coin(token_address, eth_amount, max_slippage, min_output_amount): Performs a buy transaction with on-chain bonding curve parameters verified pre-flight for slippage safety.

12. sell_meme_coin(token_address, token_amount, max_slippage, min_output_amount): Performs a sell transaction with on-chain bonding curve parameters verified pre-flight for slippage safety.

13. execute_cross_chain_bridge(src_chain_id, src_token, dest_chain_id, dest_token, amount_raw, recipient): Fetches cross-chain swap routing and transaction details, then builds, signs, and executes the bridging transaction directly on the source EVM chain.

14. get_meme_price_chart(token_address, block_range): Scans chronological buy/sell event logs on-chain and queries current pool reserves to reconstruct historical OHLC chart simulation data for any meme token.