MCP Services Overview

Access Cred Protocol credit scoring and agentic reputation through the Model Context Protocol for AI agents

MCP Services

Cred Protocol provides Model Context Protocol (MCP) services that enable AI agents and assistants to access on-chain credit scoring, financial reporting, identity attestation, and agentic reputation 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

Live On-Chain Data

Real blockchain data from 10+ EVM networks — credit scores, reports, identity, and more

21 Tools

Comprehensive coverage: scoring, reports, identity, sybil detection, agent reputation

Available Tools (21 Total)

All tools return live on-chain data and require an API key (Authorization: Bearer <your-api-key>).

Tool	Description
Credit Scoring
get_credit_score	Get credit score (300-1000) for an Ethereum address
get_credit_scores_batch	Get scores for multiple addresses at once
get_aggregate_score	Single aggregated score across multiple addresses
Reports
get_financial_summary	Comprehensive financial report with assets, DeFi positions, and activity
get_comprehensive_report	Full multi-chain credit report with per-chain breakdowns
get_summary_report	Aggregated metrics without per-chain details
get_chain_report	Detailed report for a single blockchain
get_chain_summary	Summary metrics for a single blockchain
Portfolio
get_portfolio_value	Total portfolio value in USD across all chains
get_chain_portfolio_value	Portfolio value on a specific blockchain
get_portfolio_composition	Portfolio breakdown by asset type (tokens, DeFi, stablecoins, debt)
Identity
get_identity_attestations	Verified identity credentials (ENS, Gitcoin Passport, POAPs)
get_sybil_score	Sybil detection score with behavioral indicators
Graph
get_transaction_graph	Token transfer graph visualization (nodes + edges)
Agents (ERC-8004)
get_agent_count	Total registered agents in the Identity Registry
list_agents	Paginated list of all registered agents
get_agent	Get info for a specific agent by ID
search_agents	Search agents by name or description
submit_agent_reputation	Submit on-chain reputation feedback (10 CU)
get_agent_reputation	Read on-chain reputation summary (1 CU)
get_reputation_status	Track status of a reputation submission

All tools require an API key. Generate one from the Cred Protocol Dashboard.

Agentic Reputation (ERC-8004)

In addition to wallet credit scoring, Cred Protocol MCP services provide full access to the ERC-8004 Identity and Reputation Registries on Base — enabling AI agents to discover, assess, and rate other agents on-chain.

7 agent tools cover the complete lifecycle:

• Discovery — get_agent_count, list_agents, search_agents, get_agent
• Reputation scoring — submit_agent_reputation computes credit score, sybil risk, and identity attestations, then writes the results on-chain
• Reputation reading — get_agent_reputation reads aggregated feedback from the Reputation Registry
• Tracking — get_reputation_status tracks asynchronous on-chain submissions

ERC-8004 defines a standard for registering AI agent identities on-chain as ERC-721 tokens. Each agent has an owner address and metadata (name, description, image) stored via tokenURI. The registry lives on Base (chain ID 8453).

Unlike credit scoring tools which assess wallet reputation, the agent tools operate on the agent layer — helping AI systems discover, evaluate, and provide feedback on other AI agents in the ecosystem.

Access Methods

Cred Protocol MCP services can be accessed two ways:

1. HTTP/REST Endpoints

Standard HTTP endpoints at https://api.credprotocol.com/mcp/* — works with any HTTP client:

curl -H "Authorization: Bearer YOUR_API_KEY" \
  "https://api.credprotocol.com/mcp/score/vitalik.eth"

2. MCP Protocol

Native MCP protocol for AI agents like Cursor, Claude Code, Claude Desktop, or custom MCP clients. Uses streamable-http transport — a single endpoint that handles both request/response and streaming:

{
  "mcpServers": {
    "cred-protocol": {
      "url": "https://api.credprotocol.com/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Agent Skill Instructions

When an AI agent connects via MCP, the server automatically provides skill instructions that guide the agent on:

• Which tool to use for different user intents
• How to interpret credit scores, financial summaries, and attestations
• When to escalate from a quick score check to a full financial report
• Best practices like batching requests and flagging red flags

These instructions are delivered to agents during MCP initialization — no extra configuration needed. See the full Agent Skill reference.

MCP vs REST API

Feature	MCP Services	REST API
Data	Live on-chain data	Live on-chain data
Authentication	API key required	API key required
Purpose	AI agents and assistants	Production applications
Protocol	MCP (streamable-http) + HTTP	HTTP
Billing	Consumes Cred Units	Consumes Cred Units

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 REST API directly