Connect AI Agents to Decentralized Identity Networks in Minutes

If you're building AI agents that need to interact with real-world identity systems, you know the pain: verifiable credentials, DID management, trust registry verification - it's complex infrastructure that takes weeks to integrate properly. The cheqd MCP Toolkit changes that equation entirely.

This isn't another identity library you need to learn. It's a Model Context Protocol server that gives your AI agents native access to decentralized identity operations through the same interface they already use for everything else.

Skip the Identity Infrastructure Headache

Building AI agents that can issue credentials, verify identities, or check trust registries typically means:

• Integrating multiple identity SDKs and protocols
• Managing DID resolution and key management
• Building custom APIs for credential operations
• Handling trust registry verification logic
• Maintaining separate auth flows for identity operations

The cheqd MCP Toolkit eliminates all of that. Your AI agent gets identity superpowers through the same MCP interface it uses for file operations or API calls.

Three Ways to Get Started (Choose Your Speed)

Instant Setup - Remote Server Add this to your Claude Desktop or Cursor config and you're live in 30 seconds:

{
    "mcpServers": {
        "cheqd-mcp": {
            "command": "npx",
            "args": ["mcp-remote", "https://remote-mcp.cheqd.io/mcp"]
        }
    }
}

No local setup, no dependencies, no configuration. Just working identity tools for your AI agent.

Local Control - NPX Run locally with your own environment variables:

{
    "mcpServers": {
        "cheqd": {
            "command": "npx",
            "args": ["-y", "@cheqd/mcp-toolkit-server"],
            "env": {
                "TOOLS": "credo",
                "CREDO_CHEQD_TESTNET_MNEMONIC": "your-mnemonic-phrase"
            }
        }
    }
}

Full Control - Docker For production or custom environments, use the included Docker setup with full environment control.

Real-World AI + Identity Workflows

Automated Credential Issuance Your AI agent can now issue verifiable credentials directly:

• Student receives automated degree verification after transcript analysis
• Employee gets access credentials after AI-driven onboarding completion
• Customer receives loyalty credentials after AI processes purchase history

Trust Registry Verification AI agents can verify organizational trust in real-time:

• Before processing a document, verify the issuing organization is accredited
• Check supplier credentials against industry trust registries
• Validate educational institution status before accepting transcripts

DID-Based Authentication Enable your AI to participate in decentralized identity flows:

• Authenticate users through their decentralized identities
• Manage multi-party credential exchanges
• Handle identity verification without centralized authorities

Built for Developers, Not Identity Experts

The toolkit integrates with Credo-TS (the OpenWallet Foundation's identity framework) but you don't need to understand the underlying protocols. The MCP interface abstracts away the complexity:

• Issue and revoke credentials with simple function calls
• Schema and credential definition management through standard MCP tools
• Trust registry verification with built-in TRAIN endpoint integration
• DID operations that just work without cryptographic knowledge

Production-Ready Identity Infrastructure

This isn't a prototype - it's production infrastructure from cheqd, a live decentralized identity network. The hosted remote server handles the operational complexity while giving you enterprise-grade identity capabilities.

The modular architecture means you can start with the remote server and migrate to local or custom deployments as your needs evolve. Your AI agent code stays the same.

Why This Matters Now

AI agents are increasingly handling tasks that require identity verification - processing documents, managing access, facilitating transactions. But most agents have no secure way to verify identity claims or issue trusted credentials.

The cheqd MCP Toolkit bridges that gap. Your AI agent can now participate in the decentralized identity ecosystem as a first-class citizen, not just a consumer of pre-verified data.

Try the remote server setup today - it takes less time than reading this article, and your AI agent will have identity superpowers in minutes.