Exploring what ChainAware can do for your AI pipeline? You're in the right place.
Once you've found the capability you need, head to Agent Reference for the full agent catalogue, SKILL.md patterns, and Claude Code integration guide.
ChainAware for AI Agents¶
ChainAware's Behavioral Prediction MCP exposes the full power of the ChainAware AI platform as a set of Claude Code subagents. Any Claude Code environment - an IDE, a terminal, a CI pipeline, or an agentic AI product - can install these agents and immediately gain predictive blockchain intelligence without writing a single line of API integration code. As agentic commerce scales and AI agents transact autonomously on behalf of users, ChainAware provides the trust and fraud intelligence layer that keeps those pipelines safe.
Subagents
MCP Tools
Blockchains
Wallet Profiles
What Is the Behavioral Prediction MCP?¶
The ChainAware Behavioral Prediction MCP is a Model Context Protocol server that exposes six core prediction tools:
| Tool | What It Does |
|---|---|
predictive_fraud |
Scores a wallet address for fraud risk (0-1) |
predictive_behaviour |
Predicts on-chain behavioural patterns for a wallet |
predictive_rug_pull |
Assesses rug pull risk for a token address |
credit_score |
AI-driven crypto trust score (1-9) for lending and credit decisions |
token_rank_list |
Returns ranked token lists by risk and quality |
token_rank_single |
Detailed analysis of a single token |
The 32 subagents in this repository are pre-built Claude Code agents that wrap these tools with focused prompts, role definitions, and decision logic - so you get expert blockchain AI behaviour out of the box.
Quick Setup¶
Step 1 - Get an API key
Contact ChainAware at chainaware.ai/support to receive your API key.
Step 2 - Register the MCP server in Claude Code
claude mcp add --transport sse chainaware-behavioral-prediction \
https://prediction.mcp.chainaware.ai/sse \
--header "X-API-Key: YOUR_API_KEY"
Step 3 - Install the subagents
Clone the repository and copy the agent files to your project:
git clone https://github.com/ChainAware/behavioral-prediction-mcp.git
cp behavioral-prediction-mcp/.claude/agents/*.md .claude/agents/
That's it. The agents are now available in any Claude Code session in that project directory. Invoke them with claude --agent chainaware-fraud-detector or trigger them from within Claude Code using @chainaware-fraud-detector.
Agent Categories¶
The 32 agents are organised into five functional groups:
🔐 Security & Fraud
Real-time fraud detection, rug pull screening, Sybil detection, wallet auditing, AML scoring, and compliance screening.
9 agents
View Security Agents →⚠️ Risk & Safety
Counterparty screening, lending risk, credit scoring, token launch auditing, portfolio risk advisory, and RWA screening.
7 agents
View Risk Agents →📈 Growth & Marketing
Onboarding routing, whale detection, DeFi advisory, LTV estimation, cohort analysis, lead scoring, and wallet marketing.
11 agents
View Growth Agents →🏆 Rankings & Tokens
Wallet ranking by behaviour, token ranking by risk, and deep token analysis combining rank and fraud signals.
3 agents
View Token Agents →🎮 Specialised
GameFi player screening and DAO governance participation screening - purpose-built for specific Web3 verticals.
2 agents
View Specialised Agents →Get Started
Questions about the MCP, API keys, or enterprise deployment? The ChainAware team can help.
Contact ChainAware →View on GitHub →
Full Agent List¶
| Agent | Category | Tools Used |
|---|---|---|
| chainaware-fraud-detector | Security | predictive_fraud |
| chainaware-rug-pull-detector | Security | predictive_rug_pull, predictive_fraud |
| chainaware-wallet-auditor | Security | predictive_behaviour |
| chainaware-trust-scorer | Security | predictive_fraud |
| chainaware-aml-scorer | Security | predictive_fraud |
| chainaware-reputation-scorer | Security | predictive_behaviour |
| chainaware-compliance-screener | Security | Agent, predictive_fraud, predictive_rug_pull |
| chainaware-transaction-monitor | Security | predictive_fraud, predictive_rug_pull, predictive_behaviour |
| chainaware-sybil-detector | Security | predictive_behaviour, predictive_fraud |
| chainaware-counterparty-screener | Risk | predictive_fraud, predictive_behaviour |
| chainaware-lending-risk-assessor | Risk | predictive_behaviour, predictive_fraud, credit_score |
| chainaware-token-launch-auditor | Risk | predictive_rug_pull, predictive_fraud, predictive_behaviour |
| chainaware-agent-screener | Risk | predictive_fraud, predictive_behaviour, predictive_rug_pull |
| chainaware-portfolio-risk-advisor | Risk | predictive_rug_pull, token_rank_single |
| chainaware-rwa-investor-screener | Risk | predictive_fraud, predictive_behaviour |
| chainaware-credit-scorer | Risk | credit_score |
| chainaware-onboarding-router | Growth | predictive_behaviour |
| chainaware-whale-detector | Growth | predictive_behaviour |
| chainaware-defi-advisor | Growth | predictive_behaviour |
| chainaware-airdrop-screener | Growth | predictive_behaviour, predictive_fraud |
| chainaware-cohort-analyzer | Growth | predictive_behaviour, predictive_fraud |
| chainaware-lead-scorer | Growth | predictive_behaviour, predictive_fraud |
| chainaware-upsell-advisor | Growth | predictive_behaviour |
| chainaware-platform-greeter | Growth | predictive_behaviour, predictive_fraud |
| chainaware-marketing-director | Growth | predictive_fraud |
| chainaware-wallet-marketer | Growth | predictive_behaviour |
| chainaware-ltv-estimator | Growth | predictive_behaviour, predictive_fraud |
| chainaware-wallet-ranker | Tokens | predictive_behaviour |
| chainaware-token-ranker | Tokens | token_rank_list |
| chainaware-token-analyzer | Tokens | token_rank_single, predictive_fraud |
| chainaware-gamefi-screener | Specialised | predictive_behaviour, predictive_fraud |
| chainaware-governance-screener | Specialised | predictive_behaviour, predictive_fraud |
Get an API key and start using the ChainAware MCP in minutes.
Get API Access → GitHub Repository →
Further Reading¶
-
12 Blockchain Capabilities Any AI Agent Can Use - MCP Integration Guide - all 12 agent capabilities with MCP setup for Claude, ChatGPT, Cursor, and multi-agent architectures
- Prediction MCP for AI Agents: Personalize Decisions from Wallet Behavior - full MCP integration guide with code examples
- Top 5 Ways Prediction MCP Will Turbocharge Your DeFi Platform - lending, DEX, launchpad, governance, and personalization use cases
- Why Personalization Is the Next Big Thing for AI Agents - the case for wallet-level personalization in Web3
- The Web3 Agentic Economy: How AI Agents Are Replacing Human Teams in DeFi - how autonomous AI agents are taking over DeFi operations and decision-making