
Javii Tools Review: The Tiny Browser Suite Behind Pixel-Perfect Creator Visuals
A practical Javii Tools review covering features, pricing, privacy, licensing, alternatives, and whether it fits creator workflows.
A protocol-aware marketplace for builders: compare integrations, discover agent workflows, and move from search to setup faster.
Model Context Protocol
Standardizes how AI connects to external tools and data sources. Like an "AI's USB-C port" — one protocol to access databases, APIs, file systems, and more.
Agent-to-Agent Protocol
Enables interoperability between AI agents across vendors and frameworks. Agents discover, delegate, and collaborate — a "diplomatic protocol" for AI.
MCP connects agents with tools. A2A connects agents with agents.
Start here
High-signal entries to start exploring the A2A and MCP ecosystem.

TinyFish is a web infrastructure platform for AI agents that combines live web search, browser-rendered content extraction, goal-based web automation, and managed cloud browser sessions. Developers can access the platform through APIs, SDKs, a CLI, and integrations with agent frameworks and AI coding tools.
TinyFish exposes web automation, web search, content extraction, and remote browser-session tools to MCP-compatible AI assistants. The hosted MCP server uses OAuth 2.1, while an optional local @tiny-fish/mcp proxy supports API-key authentication for local-only, CI, and headless setups.

OpenAI Developer Docs MCP is an OpenAI-hosted, read-only server that lets MCP clients search and fetch documentation from developers.openai.com, platform.openai.com, and learn.chatgpt.com. It uses a public streamable HTTP endpoint and does not call the OpenAI API on the user's behalf.

Cursor MCP is Cursor's Model Context Protocol client support for connecting the Cursor editor and Cursor CLI agent to external MCP servers. Official docs cover stdio, SSE, Streamable HTTP, mcp.json configuration, OAuth, Marketplace plugins, and CLI management commands.
New arrivals
Recently added resources for people who want to track what is new.

TinyFish is a web infrastructure platform for AI agents that combines live web search, browser-rendered content extraction, goal-based web automation, and managed cloud browser sessions. Developers can access the platform through APIs, SDKs, a CLI, and integrations with agent frameworks and AI coding tools.
TinyFish exposes web automation, web search, content extraction, and remote browser-session tools to MCP-compatible AI assistants. The hosted MCP server uses OAuth 2.1, while an optional local @tiny-fish/mcp proxy supports API-key authentication for local-only, CI, and headless setups.

OpenAI Developer Docs MCP is an OpenAI-hosted, read-only server that lets MCP clients search and fetch documentation from developers.openai.com, platform.openai.com, and learn.chatgpt.com. It uses a public streamable HTTP endpoint and does not call the OpenAI API on the user's behalf.

FetchSandbox is a stdio MCP server and hosted API-sandbox service that lets AI coding agents import OpenAPI 3.x specifications, discover runnable workflows, and execute stateful integration tests without using production API credentials. It is designed for validating request flows, lifecycle state, webhooks, retries, and shareable run traces from MCP-compatible development tools.
DataForSEO MCP Server is the official Model Context Protocol server for connecting AI clients to DataForSEO SEO, SERP, keyword, backlink, on-page, business, domain, content, merchant, and AI optimization data. It can be used as a hosted Streamable HTTP endpoint, a local npx package, a Docker container, or a source-built TypeScript server.
Curated
Highlighted projects from the community.

TinyFish is a web infrastructure platform for AI agents that combines live web search, browser-rendered content extraction, goal-based web automation, and managed cloud browser sessions. Developers can access the platform through APIs, SDKs, a CLI, and integrations with agent frameworks and AI coding tools.
TinyFish exposes web automation, web search, content extraction, and remote browser-session tools to MCP-compatible AI assistants. The hosted MCP server uses OAuth 2.1, while an optional local @tiny-fish/mcp proxy supports API-key authentication for local-only, CI, and headless setups.
Apps
Desktop, web, and developer clients for using protocol-powered tools.
Reusable skills, channels, and workflow resources for agentic systems.

mattpocock
grill-me runs a grilling session that interviews users to sharpen a plan or design.

inference-sh
Generate AI videos with 40+ models (Veo, Seedance, Wan, Grok and more) via inference.sh CLI for text-to-video, image-to-video, avatar/lipsync, upscaling and foley.
mattpocock
Runs a grilling session that sharpens a software plan and creates ADR or glossary documentation.

inference-sh
Generate AI images with 50+ models via the inference.sh CLI.
Browse through curated categories of A2A and MCP ecosystem resources.
MCP-compatible servers providing tools, data, and API integrations for AI models.

TinyFish is a web infrastructure platform for AI agents that combines live web search, browser-rendered content extraction, goal-based web automation, and managed cloud browser sessions. Developers can access the platform through APIs, SDKs, a CLI, and integrations with agent frameworks and AI coding tools.
TinyFish exposes web automation, web search, content extraction, and remote browser-session tools to MCP-compatible AI assistants. The hosted MCP server uses OAuth 2.1, while an optional local @tiny-fish/mcp proxy supports API-key authentication for local-only, CI, and headless setups.

OpenAI Developer Docs MCP is an OpenAI-hosted, read-only server that lets MCP clients search and fetch documentation from developers.openai.com, platform.openai.com, and learn.chatgpt.com. It uses a public streamable HTTP endpoint and does not call the OpenAI API on the user's behalf.

FetchSandbox is a stdio MCP server and hosted API-sandbox service that lets AI coding agents import OpenAPI 3.x specifications, discover runnable workflows, and execute stateful integration tests without using production API credentials. It is designed for validating request flows, lifecycle state, webhooks, retries, and shareable run traces from MCP-compatible development tools.
DataForSEO MCP Server is the official Model Context Protocol server for connecting AI clients to DataForSEO SEO, SERP, keyword, backlink, on-page, business, domain, content, merchant, and AI optimization data. It can be used as a hosted Streamable HTTP endpoint, a local npx package, a Docker container, or a source-built TypeScript server.
Agents using the A2A protocol for cross-vendor collaboration and task delegation.
A production-ready plugin for OpenClaw that implements the A2A (Agent-to-Agent) v0.3.0 protocol, enabling bidirectional communication, task delegation, and automatic peer discovery between OpenClaw agents and other A2A-compatible agents across different servers.
Autonomous AI agents for coding, browsing, research, and workflow automation.

Claude Agent via Zed External Agents lets developers run Claude as an ACP-integrated coding agent inside Zed’s Agent Panel or Threads Sidebar. Zed hosts the thread UI, while Claude Agent owns its own runtime, authentication, billing, model behavior, tools, and native configuration.

Open SWE is an open-source asynchronous coding agent built by LangChain. It autonomously handles GitHub issues by researching codebases, planning tasks, writing and testing code, self-reviewing, and opening pull requests — acting like a full-time software engineer on your team.

OpenClaw's powerful Chrome DevTools MCP integration. Attach your local AI agent to your real signed-in Chrome browser (with cookies, tabs, and logins intact) for full web control — click, type, read pages, take snapshots, and automate any task directly in your live browser.
SDKs, libraries, and frameworks for building agents and protocol integrations.

OpenViking is an open-source context database for AI agents that organizes memory, resources, and skills using a filesystem paradigm (viking:// URIs), enabling hierarchical context delivery, layered loading, and self-evolving agents.
Developer tools, extensions, and ecosystem utilities.

CamoFox Browser is a headless anti-detection browser automation server powered by Camoufox (Firefox fork with C++-level fingerprint spoofing). It enables AI agents to reliably browse sites blocked by Cloudflare, Google, and other bot detection systems.

LobeHub is a modern AI agent platform and marketplace for discovering, building, and collaborating with intelligent agent teammates. It features native Model Context Protocol (MCP) integration and the world's largest curated MCP Servers Marketplace with tens of thousands of ready-to-use integrations.
Desktop, mobile, and web clients for interacting with AI agents.
Insights, guides, and analysis from the A2A MCP community.

A practical Javii Tools review covering features, pricing, privacy, licensing, alternatives, and whether it fits creator workflows.

Fix incomplete Claude responses with token, context, tool-use, outage, and prompt troubleshooting steps for Claude.ai and API users.

Fix Gemini error 1076 with outage checks, account tests, chat recovery, browser fixes, and API troubleshooting steps.
Common questions from builders exploring A2A and MCP.
MCP is a protocol for connecting AI models and agents to tools, files, databases, APIs, and other context sources through a common interface.
A2A focuses on agent-to-agent interoperability, helping agents discover capabilities, delegate work, and coordinate across vendors or frameworks.
Start with the workflow you need, then check official status, recent activity, client compatibility, security notes, and installation requirements.
Yes. Submit servers, clients, agents, frameworks, guides, and ecosystem resources for review so they can be listed in the directory.