Invoke a chat with ChainGPT AI and get a response based on the provided question. Web3-native AI assistant built specifically for the crypto world. It has deep blockchain expertise, enabling seamless integration of crypto-aware AI into your applications. The model is trained on blockchain data (s...
Part of the ChainGPT MCP server.
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AI agents invoke chaingpt_invoke_chat to trigger processes or run actions in ChainGPT MCP. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
chaingpt_invoke_chat can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"chaingpt_invoke_chat": {
"limits": [
{
"counter": "chaingpt_invoke_chat_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full ChainGPT MCP policy for all 3 tools.
These attack patterns abuse exactly the kind of access chaingpt_invoke_chat gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Invoke a chat with ChainGPT AI and get a response based on the provided question. Web3-native AI assistant built specifically for the crypto world. It has deep blockchain expertise, enabling seamless integration of crypto-aware AI into your applications. The model is trained on blockchain data (smart contracts, DeFi protocols, NFTs, DAOs) and real-time market information, making it ideal for use cases like customer support, on-chain analytics, trading assistance, and community engagement Capabilities: - Aggregate any amount of web3 market statistics - Interact with Blockchains - Live information tracking of 5,000+ cryptos. - AI Generated News ⚠️ COST WARNING: This tool makes an API call to ChainGPT which may incur costs. This tool allows you to interact with ChainGPT's conversational AI capabilities. Args: question (str): The question or message to send to ChainGPT. chatHistory (str, optional): Whether to include chat history in the request. Defaults to "off" if not provided. Can be set to "on" to maintain conversation context. sdkUniqueId (str, optional): The unique identifier for the chat. Defaults to a random UUID if not provided Returns: The response from ChainGPT AI to the provided question or message.. It is categorised as a Execute tool in the ChainGPT MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ChainGPT MCP server in PolicyLayer and add a rule for chaingpt_invoke_chat: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches ChainGPT MCP. Nothing to install.
chaingpt_invoke_chat is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the chaingpt_invoke_chat rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for chaingpt_invoke_chat. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
chaingpt_invoke_chat is provided by the ChainGPT MCP server (kohasummons/chaingpt-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 3 ChainGPT MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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