Cred Protocol

MCP Services

MCP Services Overview

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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 →

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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.

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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

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Available Tools

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Sandbox Tools (Mock Data)

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

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Live Tools (Real Data)

Tool	Description
get_live_identity_attestations	Real identity attestations from blockchain (requires API key)

Live tools require the CRED_MCP_API_KEY environment variable to be configured.

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Access Methods

Cred Protocol MCP services can be accessed two ways:

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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

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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"]
    }
  }
}

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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.

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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