Verify, discover, and rate AI agents before transacting.
Verify, discover, and rate AI agents before transacting.
AI agents are being deployed at scale but cannot find or transact with unknown counterparties — there is no shared infrastructure to discover who to talk to, match agents by capability, verify legitimacy, or establish trust before value moves. Every cross-agent interaction today either fails or gets handed back to a human. Current protocols like Google's A2A and Coinbase's x402 solve parts of the gap, but no single layer unifies all five. Aidress does.
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claude mcp add aidress -- uvx aidress-sdkRead, 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.
Source profile for Driflyte-mcp-server. Its purpose and connection details need verification against the maintainer’s documentation.
Proof and repair for Apple coding agents: validate Swift, run Xcode evidence, repair failures, and generate inspectable Apple-native capabilities.
Testing and quality assurance tools for AI agents, exposed via the Model Context Protocol (MCP).
Manage MagicSword endpoints, alerts, policies, and private intelligence through MCP.