Mcp Use Didwba Server

Overview

mcp-use-didwba demonstrates how an MCP server can leverage didwba—a decentralized identity‑based authentication framework—to secure interactions between AI assistants and external resources. By integrating didwba, the server offers a robust, trust‑worthy authentication layer that replaces traditional username/password or token schemes with verifiable claims issued by identity providers. This approach aligns with modern privacy‑first architectures, allowing users to prove attributes (e.g., role or access level) without revealing sensitive data.

The server exposes the standard MCP endpoints for resources, tools, prompts, and sampling. However, each request must include a didwba assertion that the client presents as part of the authentication header. The server validates these assertions against a configured set of trusted issuers, ensuring that only authenticated and authorized clients can invoke tool actions or retrieve prompts. This model is particularly valuable for developers building AI workflows that must adhere to strict compliance requirements, such as healthcare or finance, where identity proof and auditability are mandatory.

Key capabilities include:

• Decentralized Identity Integration: Clients authenticate via didwba assertions, enabling single‑sign‑on across multiple MCP services.
• Fine‑grained Access Control: Claims embedded in the assertion can dictate which resources or tools a client may access, allowing dynamic permissioning.
• Audit‑Ready Proofs: Each assertion contains cryptographic proof that can be logged and verified, providing an immutable audit trail.
• Standard MCP Compatibility: Existing AI assistants that understand the MCP specification can interact with this server without modification, aside from supplying the didwba header.

Typical use cases involve:

• Enterprise AI Assistants: Organizations can deploy an MCP server that only allows employees with specific roles to query sensitive datasets or trigger business processes.
• Regulated Data Access: In sectors where data handling is tightly controlled, the server ensures that only properly authenticated agents can retrieve or manipulate information.
• Multi‑Tenant SaaS Platforms: A single MCP instance can serve multiple clients, each authenticated by their own identity provider, while the server enforces tenant‑level isolation.

By combining MCP’s flexible tool and prompt orchestration with didwba’s secure, claim‑based authentication, developers gain a powerful platform for building AI systems that are both extensible and compliant. The server’s design encourages reuse of existing MCP tooling while adding a layer of trust that is increasingly demanded by modern applications.