What are the prerequisites for using the toolkit?
Node.js 20 or higher and pnpm 8 or higher are required for local development.
@cheqd
基本信息
Model Context Protocol (MCP) Toolkit for cheqd decentralised identity
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"cheqd-docker-compose": {
"command": "docker",
"args": [
"compose",
"-f",
"/path/to/repo/mcp-toolkit/docker/docker-compose.yml",
"run",
"--rm",
"-p",
"3000:3000",
"--name",
"faber",
"-T",
"mcp-server"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A modular framework built around the Model Context Protocol (MCP) that allows AI agents to interact with the Cheqd network. It enables agents to securely manage decentralized identities (DIDs), verifiable credentials, and trust registries.
Connect to the hosted remote MCP server by adding the provided JSON configuration to your Claude Desktop or Cursor settings. For local deployment, run npx @cheqd/mcp-toolkit-server with environment variables, or use Docker Compose.
Node.js 20 or higher and pnpm 8 or higher are required for local development.
Use the hosted remote MCP server by adding the configuration `“npx mcp-remote https://remote-mcp.cheqd.io/mcp”` to your client settings.
The `@cheqd/mcp-toolkit-credo` package provides tools for issuing, revoking credentials, managing schemas, credential definitions, DID-based authentication, and TRAIN trust registry verification. The `TOOLS` environment variable is set to `“credo”` by default.
Set environment variables such as `TOOLS`, `CREDO_PORT`, `CREDO_NAME`, `CREDO_ENDPOINT`, `CREDO_CHEQD_TESTNET_MNEMONIC`, `TRAIN_ENDPOINT`, and `PORT`.
Comprehensive documentation covering architecture, integration, use cases, and deployment recommendations is available at [docs.cheqd.io](https://docs.cheqd.io/product/getting-started/ai-agents/trust-registry/setup-mcp).

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