> For the complete documentation index, see [llms.txt](https://contextbridge.gitbook.io/context-bridge/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://contextbridge.gitbook.io/context-bridge/welcome/readme.md).

# Introduction

#### What is ContextBridge? <a href="#what-is-contextbridge" id="what-is-contextbridge"></a>

Context Bridge is the infrastructure for bridging data and value across industries, enabling AI, AI Agents systems, applications, and services to operate with real-time context, programmable economic access, and verifiable identity.

As AI systems evolve from single-model tools into autonomous agents, they must interact with external data sources, markets, and dynamic environments. This requires more than model intelligence. It requires access to structured context, the ability to pay for services programmatically, and a way to verify who an agent is and what it is allowed to do.

ContextBridge provides a unified data and value layer that connects these primitives into a single, composable system.

At its core, ContextBridge connects three foundational systems:

* **Real-Time Context through the Model Context Protocol (MCP)**, which exposes machine-readable data and intelligence
* **Payments through x402**, enabling native, usage-based transactions between systems and services
* **Agent identity and registry infrastructure through ERC-8004,** which defines how agents are registered, identified, and evaluated on-chain, supporting verifiable AI agent participation where required

By supporting these protocols together, ContextBridge allows AI and AI agents to move from isolated execution to autonomous participation in open economic systems.