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Nexbid

@nexbid-dev

Repository

About Nexbid

Agentic commerce infrastructure for AI agents. MCP-native product discovery, contextual ad matching, and purchase facilitation with European privacy compliance (nDSG/GDPR).

Basic information

Category

Other

Transports

stdio

Publisher

nexbid-dev

Submitted by

Holger von Ellerts

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "nexbid": {
      "url": "https://mcp.nexbid.dev/mcp"
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Nexbid?

Nexbid is a production-grade reference implementation of Protocol Commerce, offering a native MCP-integrated marketplace for AI agents to search, browse, and purchase products. Built by digital opua GmbH (Switzerland), it features formal verification, cookie-free privacy, and multi-provider AI scoring.

How to use Nexbid?

Add the server URL https://mcp.nexbid.dev/mcp with streamable-http transport to your MCP client configuration. Alternatively, use the TypeScript SDK (@protocol-commerce/adcp-sdk) with a server URL and API key.

Key features of Nexbid

  • Native MCP integration for the full commerce lifecycle.
  • Formal verification in Lean 4 for core security properties.
  • Cookie-free, Swiss-hosted, nDSG + GDPR compliant.
  • Multi-provider, model-agnostic AI scoring.
  • Production-grade closed beta.

Use cases of Nexbid

  • AI agents searching and purchasing products through an open marketplace.
  • Publishers participating in an auditable, standardized commerce protocol.
  • Developers integrating agent-native commerce into LLM-driven applications.

FAQ from Nexbid

What transport does Nexbid use?

The server uses streamable-http transport.

Is Nexbid GDPR compliant?

Yes, it is cookie-free, Swiss-hosted, and compliant with nDSG and GDPR.

How does AI scoring work in Nexbid?

Nexbid uses multi-provider, model-agnostic scoring with a transparent formula: score = 0.4×bid + 0.4×relevance + 0.2×quality.

Which LLMs can connect to Nexbid?

Any MCP-compatible LLM, such as Claude, GPT-4, and Gemini.

Is Nexbid production-ready?

It is currently in a production-grade closed beta phase.

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