Standardizes AI agent interactions for identity-related workflows using the Model Context Protocol (MCP).
Standardizes AI agent interactions for identity-related workflows using the Model Context Protocol (MCP).
The @cheqd/mcp-toolkit is a modular framework built around the Model Context Protocol (MCP) which allows AI agents to interact with the Cheqd network. MCP standardizes AI agent interactions by providing a structured way to handle identity-related workflows. This toolkit enables AI agents to securely manage decentralized identities (DIDs), verifiable credentials, and trust registries, making it an essential component for AI-driven identity systems. This repository allows developers to configure and deploy an MCP server with the available toolkits.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
claude mcp add cheqd-toolkit --env TOOLS=your-value -- npx -y Use| Variable | Description | Required |
|---|---|---|
| TOOLS | Configuration value read at startup. | Optional |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
A Model Context Protocol (MCP) server that integrates with Google's Gemini Pro model, can be used in Claude Desktop App.
npm wrapper for the KiCad MCP Pro Python package.
Read-only GitHub repos, issues, PRs and commits, with tool descriptions tuned on a benchmark.
Role-aware Agent memory with cross-session recall, durable writes, and multi-Agent project scope.