🚀 Universal SDK for building next-gen MCP servers
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Updated
Jun 9, 2026 - Python
🚀 Universal SDK for building next-gen MCP servers
Publishes localhost services to the agentic web through self-hostable, trustless relays.
AWP | Agentic Web Protocol: Discoverable Websites and APIs, for AI Agents interactions
Lighthouse-style audits for AI agents, LLM crawlers, MCP clients, and the agentic web.
agents.txt is a lightweight, machine-readable capability declaration layer for websites in the agentic web: a protocol-agnostic discovery file that publicly announces what agent-interaction capabilities a site supports, without embedding the implementation details of any specific protocol.
Agent View Layer (AVL): producer-owned text/agent-view companions for AI agents, CMS plugins, and agent-ready web discovery.
An agent-native floor-plan studio. 31 WebMCP tools, a constraint engine, and cross-origin tool exchange between two real origins
A curated list of awesome Agentic commerce, Universal Commerce Protocol (UCP), Agentic payments protocol (AP2) resources, tools, and implementations.
Open Source AI platform to build Agentic services, ChatGPT Apps and MCP Servers
Write your page once — AHTML emits MCP, OpenAPI, JSON-LD & llms.txt for AI agents from your existing Next.js, Vite or SvelteKit app. Zero migration. MIT.
HERALD is an open-source CLI that emits the standard discovery files agents need to read your site and discover its agent-interaction capabilitie. One config object drives all of it. Each file is an independent open standard; pick the layers you want and HERALD generates only those.
Engawa — the open toolkit for agent-native websites. Bring your agent.
Open-source publishing governance for AI-built websites
[ICML'26] AgentWebBench: Benchmarking Multi-Agent Coordination in Agentic Web
Open-source readiness scanner for agent-facing websites, merchants, APIs, docs, and support surfaces.
A debug bridge embedded inside your web app, exposing runtime internals to AI agents via MCP.
Robots.txt for the agentic web. The open standard that lets websites define how AI agents can access and interact with their content.
Free CLI to scan AI-agent readiness (12/33 signals, MIT). Bad score? Get ready-to-install ZIP fix-pack with llms.txt, schema, A2A, MCP for $1/$29/$99 at agentfix.pro.
AWP Specification — defines agent.json for declaring website capabilities to AI agents
Turn an existing website into a discoverable, reliable, and measurable agent interface. Delivered through native WebMCP.
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