Cred Protocol
On-chain credit scoring, financial reporting, and identity verification for Ethereum addresses. Get credit scores (300-1000), portfolio values, and identity attestations.
MCP Services
MCP Services Overview
MCP Services
Cred Protocol provides Model Context Protocol (MCP) services that enable AI agents and assistants to access on-chain credit scoring, financial reporting, and identity attestation data.
MCP is an open protocol that allows AI systems to securely interact with external tools and data sources. Learn more about MCP →
What is MCP?
The Model Context Protocol (MCP) is a standardized way for AI agents (like Claude, GPT, or custom LLM applications) to:
- Discover available tools and their capabilities
- Call tools with structured parameters
- Receive structured responses Unlike traditional REST APIs that require manual integration, MCP allows AI agents to automatically understand and use your tools through natural language.
Why Use MCP Services?
AI-Native Integration
AI agents can discover and use Cred Protocol tools without custom code
Natural Language
Users can ask “What’s this wallet’s credit score?” and the agent handles it
Sandbox Data
Safe testing with deterministic mock data - no real blockchain calls
No Authentication
MCP endpoints don’t require API tokens for easy development
Available Tools
| Tool | Description |
|---|---|
| get_credit_score | Get credit score (300-1000) for an Ethereum address |
| get_credit_scores_batch | Get scores for multiple addresses at once |
| get_financial_summary | Comprehensive financial report with assets, DeFi positions, and activity |
| get_identity_attestations | Verified identity credentials (ENS, Gitcoin Passport, POAPs) |
| get_portfolio_value | Total portfolio value in USD across all chains |
| get_chain_portfolio_value | Portfolio value on a specific blockchain |
Access Methods
Cred Protocol MCP services can be accessed two ways:
1. HTTP/REST Endpoints
Standard HTTP endpoints at /mcp/sandbox/* - works with any HTTP client:
curl https://api.credprotocol.com/mcp/sandbox/score/vitalik.eth
2. MCP Protocol (stdio)
Native MCP protocol for AI agents like Cursor, Claude Desktop, or custom MCP clients:
{
"mcpServers": {
"cred-protocol": {
"command": "python",
"args": ["mcp_server.py"]
}
}
}
MCP vs REST API
| Feature | MCP Services | REST API |
|---|---|---|
| Data | Sandbox/mock | Real blockchain data |
| Authentication | None required | API token required |
| Purpose | Development, AI agents | Production applications |
| Billing | Free | Consumes Cred Units |
| Response Time | Instant (~10ms) | 3-5 seconds |
MCP services use sandbox data for safe testing. For production applications with real blockchain data, use the REST API.
Next Steps
Getting Started
Connect your AI agent to Cred Protocol MCP
Available Tools
Explore all available MCP tools
Examples
See practical usage examples
REST API
Use the production API for real data
Getting Started
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