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Base Blockchain

Community
AlexAI-MCP
base-blockchain

Query Base (Ethereum L2) blockchain data — wallet balances, token info, transactions, gas analysis, contract inspection. No API key required.

Overview

PublisherAlexAI-MCP
Repositoryhermes-CCC
Skill namebase-blockchain
Stars
134
Forks
22
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AlexAI-MCP on GitHub. Read the source before you install it.

Installation

Install the Base Blockchain AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/base-blockchain
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AlexAI-MCP/hermes-CCC.git /tmp/hermes-CCC
mkdir -p .claude/skills
cp -r /tmp/hermes-CCC/skills/base-blockchain .claude/skills/base-blockchain
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Base Blockchain in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Base Blockchain on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Base Blockchain is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Base Blockchain

Query Base (Ethereum L2) on-chain data enriched with USD pricing. No API key needed — uses public RPC + CoinGecko.

Base RPC Endpoints

Mainnet: https://mainnet.base.org
Testnet: https://sepolia.base.org
Chain ID: 8453 (mainnet) / 84532 (testnet)

Python Setup

python
import urllib.request, json

RPC = "https://mainnet.base.org"

def rpc_call(method, params=[]):
    payload = json.dumps({"jsonrpc":"2.0","method":method,"params":params,"id":1}).encode()
    req = urllib.request.Request(RPC, data=payload, headers={"Content-Type":"application/json"})
    with urllib.request.urlopen(req) as r:
        return json.loads(r.read())["result"]

Wallet Balance

python
def get_eth_balance(address):
    hex_balance = rpc_call("eth_getBalance", [address, "latest"])
    return int(hex_balance, 16) / 1e18

addr = "0xYourWalletAddress"
print(f"Balance: {get_eth_balance(addr):.6f} ETH")

ERC-20 Token Balance

python
# balanceOf(address) = keccak256 first 4 bytes = 0x70a08231
def get_token_balance(token_addr, wallet_addr, decimals=18):
    data = "0x70a08231" + wallet_addr[2:].zfill(64)
    result = rpc_call("eth_call", [{"to": token_addr, "data": data}, "latest"])
    return int(result, 16) / (10 ** decimals)

# USDC on Base (6 decimals)
usdc = "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
print(f"USDC: {get_token_balance(usdc, addr, decimals=6):.2f}")

Transaction Details

python
def get_tx(tx_hash):
    return rpc_call("eth_getTransactionByHash", [tx_hash])

def get_tx_receipt(tx_hash):
    return rpc_call("eth_getTransactionReceipt", [tx_hash])

tx = get_tx("0xabc123...")
print(f"From: {tx['from']}")
print(f"To: {tx['to']}")
print(f"Value: {int(tx['value'],16)/1e18} ETH")

Gas Analysis

python
def get_gas_price():
    hex_gas = rpc_call("eth_gasPrice")
    gwei = int(hex_gas, 16) / 1e9
    return gwei

print(f"Gas price: {get_gas_price():.2f} Gwei")

# Estimate gas for a transfer
def estimate_gas(from_addr, to_addr, value_eth):
    return rpc_call("eth_estimateGas", [{
        "from": from_addr,
        "to": to_addr,
        "value": hex(int(value_eth * 1e18))
    }])

ETH Price (CoinGecko)

python
def get_eth_price_usd():
    url = "https://api.coingecko.com/api/v3/simple/price?ids=ethereum&vs_currencies=usd"
    with urllib.request.urlopen(url) as r:
        return json.loads(r.read())["ethereum"]["usd"]

price = get_eth_price_usd()
balance = get_eth_balance(addr)
print(f"Portfolio: ${balance * price:.2f} USD")

Block Info

python
def get_latest_block():
    return rpc_call("eth_getBlockByNumber", ["latest", False])

block = get_latest_block()
print(f"Block: {int(block['number'],16)}")
print(f"Txs: {len(block['transactions'])}")

Contract Inspection

python
# Check if address is a contract
def is_contract(address):
    code = rpc_call("eth_getCode", [address, "latest"])
    return code != "0x"

# Read contract storage slot
def get_storage(address, slot):
    return rpc_call("eth_getStorageAt", [address, hex(slot), "latest"])

Basescan API (optional)

For detailed tx history, use Basescan API (free key at basescan.org):

python
BASESCAN = "https://api.basescan.org/api"
# Get tx list for address
params = f"?module=account&action=txlist&address={addr}&apikey=YOUR_KEY"

Frequently asked questions

What does the Base Blockchain AI skill do?

Query Base (Ethereum L2) blockchain data — wallet balances, token info, transactions, gas analysis, contract inspection. No API key required.

Why use Base Blockchain on TypingMind?

Because you install it once and use it with any model. Base Blockchain is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Base Blockchain in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/base-blockchain. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Base Blockchain?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Base Blockchain?

As many as you like. As long as a model supports skills, you can use Base Blockchain with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Base Blockchain AI skill free?

Yes. It is published on GitHub by AlexAI-MCP under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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