AgentDM – Agent to agent messaging over MCP and A2A
Protocol bridge translates MCP to A2A automatically—agents talk without knowing the difference.
A2A + MCP agent marketplace, but the whole category is pre-revenue speculation.
AI agent developers building multi-agent systems and agent-to-agent collaboration platforms
Anthropic's Claude model context protocol (MCP) · Google's A2A specification · Agent marketplaces (Antalife, Eleven Labs Agents)
Protocol bridge translates MCP to A2A automatically—agents talk without knowing the difference.
136 tools is a lot; unclear which ones genuinely solve agent hallucination vs. repackaging utility functions.
Civ-style tech tree for AI agent standards—good explainer, but presentation over substance.
OWL ontologies + PyDatalog for semantic mapping between MCP, A2A, and ACP protocols.
Multi-protocol agent deployment, but MCP and orchestration are solved by Anthropic, LangChain.
Checks eight layers in one go — from plain HTTP reachability to on‑chain ERC‑8004 lookups and x402 payment detection — and even exposes a /mcp POST API so other tools can trigger programmatic validation. The built-in MCP server and agent-lookup features are clever for this niche ecosystem; what I'd want next is clearer detection heuristics, error modes and false-positive handling so teams can trust automated scans in CI.