Tamash - AI Web Agent Bridge

Makes web apps AI-agent-ready with Agent Mode, WebMCP, DOM automation, and Jira/GitHub Remote MCP for MCP clients.

Tamash — AI Web Agent Bridge Tamash connects your active Chrome tab to AI assistants so they can read and interact with any website without writing a single line of test code or selector. How it works When you open a page, Tamash automatically scans it and turns its interactive controls into callable tools. It supports the WebMCP standard, so if a website declares its own tools via the WebMCP API, Tamash discovers and exposes those first — giving AI assistants a semantic, app-aware interface rather than a raw DOM scan. MCP Mode — use with your AI IDE In MCP Mode, Tamash runs a local Model Context Protocol server. Any MCP-compatible AI IDE — VS Code Copilot, Cursor, or Claude Desktop — can connect to it and call page tools directly. The connection happens over a local WebSocket; nothing leaves your machine. Agent Mode — built-in AI agent In Agent Mode, Tamash runs an AI agent from within the extension sidebar. Connect your own OpenAI, Anthropic, Google, or Ollama account, describe a goal in plain language, and the agent navigates pages, fills forms, and completes multi-step tasks while logging every tool call so you can follow along. Tool Tester The Tool Tester tab shows every tool discovered on the current page. You can inspect each tool's input schema and run it manually — useful for verifying what the AI sees before handing off to an agent or IDE. Remote MCP Servers In Agent Mode you can connect Tamash to remote MCP servers such as Jira and GitHub, allowing the agent to combine live page actions with external system operations in a single run. All credentials and tokens are stored locally on your device and are never synced or transmitted to Tamash servers.