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Cheqd MCP Server

MCP Server

Secure AI-driven identity on the Cheqd network

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Updated Jun 17, 2025

About

The Cheqd MCP Server is a modular framework that enables AI agents to interact with the Cheqd network, managing decentralized identities (DIDs), verifiable credentials, and trust registries. It offers both remote hosted and local deployment options.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Cheqd MCP Toolkit Overview

The Cheqd MCP Toolkit is a modular framework that brings the Model Context Protocol (MCP) to decentralized identity ecosystems. By exposing a standardized set of tools, prompts, and sampling methods, the toolkit lets AI assistants such as Claude or Cursor perform identity‑centric operations—creating and managing Decentralized Identifiers (DIDs), issuing and verifying Verifiable Credentials, and interacting with trust registries—directly from within an AI workflow. This removes the need for developers to write bespoke integration code, enabling a plug‑and‑play experience where AI agents can authenticate users, attest attributes, and enforce access controls in a single conversation.

At its core, the toolkit hosts an MCP server that serves four primary capabilities: resources (e.g., DIDs and credentials), tools (API calls to the Cheqd network), prompts (structured instructions for the AI to invoke tools correctly), and sampling (controlled generation of responses). Developers can choose between a fully managed remote server or a local instance, giving flexibility for production, testing, or compliance scenarios. The remote endpoint is ready to use with a single JSON configuration line in Claude Desktop or Cursor, while the local deployment supports custom environment variables and TypeScript integration for advanced use cases.

Key features include:

  • Decentralized Identity Management – Create, update, and resolve DIDs; issue and revoke verifiable credentials.
  • Trust Registry Interaction – Query and update trust registries to enforce regulatory or organizational policies.
  • Secure Tool Invocation – AI agents can call network operations with authenticated signatures, ensuring end‑to‑end security.
  • Custom Prompt Templates – Tailor prompts so the AI understands how to format tool requests, reducing errors in multi‑step workflows.
  • Sampling Control – Fine‑tune response length, temperature, and other generation parameters to match application requirements.

Real‑world scenarios that benefit from this server include:

  • Self‑sovereign identity portals where users prove credentials to access services without a central authority.
  • Enterprise onboarding systems that automatically verify employee credentials and issue role‑based access tokens.
  • Regulatory compliance tools that attest to data privacy or KYC requirements through verifiable credentials.
  • Cross‑platform authentication where an AI assistant can authenticate a user across web, mobile, and IoT devices using the same DID.

Integrating Cheqd’s MCP server into an AI workflow is straightforward: the assistant sends a tool request formatted per the provided prompt template, the server executes the corresponding Cheqd API call, and returns a structured response that the AI can embed in its reply. This seamless loop enables conversational agents to perform complex identity operations with minimal friction, making the Cheqd MCP Toolkit an essential asset for developers building secure, decentralized AI applications.