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Web Agent Protocol MCP Server

@OTA-Tech-AI

代码仓库主页

基本信息

分类

AI 与智能体

许可证

MIT

传输方式

stdio

作者

OTA-Tech-AI

关于 Web Agent Protocol MCP Server

🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

#python#mcp#wap#browser-automation#ai-agents#playwright#web-agents#ai-tools#record-replay#llm#mcp-server#modelcontextprotocol#browser-use#web-agent-protocol

Web Agent Protocol MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "web-agent-protocol": {
      "command": "python",
      "args": [
        "action_collect_server.py"
      ]
    }
  }
}

Web Agent Protocol MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Web Agent Protocol?

The Web Agent Protocol (WAP) is a standardized framework for recording and replaying browser actions, enabling seamless interaction between users, web agents, and browsers. It separates action recording from execution, providing a Python SDK to collect raw interaction data, convert it into replayable action lists, and optionally export those lists as MCP servers for reuse by any agent.

How to use Web Agent Protocol?

Install dependencies via pip install -r requirements.txt in a Python 3.11 conda environment, set PYTHONPATH to the project root, and create a .env file with your API keys. To record, install the OTA‑WAP Chrome extension, start the data‑collection server (python action_collect_server.py), and browse normally. Generate replay lists with python wap_replay/generate_exact_replay_list.py (exact) or python wap_replay/generate_smart_replay_list.py (smart), then replay with python run_replay.py --model-provider <name> --wap_replay_list <path>. For MCP integration, run python wap_replay/generate_mcp_server.py, then launch python wap_service.py in one terminal and python mcp_client.py in another.

Key features of Web Agent Protocol

  • Record browser interactions via the OTA‑WAP Chrome extension
  • Generate exact‑replay or smart‑replay action lists from raw events
  • Convert recorded actions into MCP servers for reuse by any agent
  • Replay action lists using the WAP‑Replay protocol
  • Provide a desktop app for out‑of‑box replay without extra setup

Use cases of Web Agent Protocol

  • Automate repetitive browser workflows by recording once and replaying any number of times
  • Create goal‑oriented smart replays to perform complex multi‑step tasks
  • Convert recorded sessions into MCP servers so agents can reuse them without re‑recording
  • Collect high‑fidelity user‑interaction data for training or testing web agents

常见问题

1

What is the difference between exact replay and smart replay?

Exact replay precisely reproduces every recorded action (clicks, scrolls, etc.), while smart replay condenses the raw event stream into a smaller set of goal‑oriented steps that can adapt to minor page changes.

2

What are the runtime dependencies for Web Agent Protocol?

The project requires Python 3.11, the packages listed in `requirements.txt`, and API keys for chosen LLM providers (e.g., OpenAI, DeepSeek) placed in a `.env` file. A Chrome browser with the OTA‑WAP extension is needed for recording.

3

How do I use the MCP server conversion feature?

Run `python wap_replay/generate_mcp_server.py --task_id <task_id>`. The generated MCP server will be placed in the `mcp_servers` folder. Then start `wap_service.py` in one terminal and `mcp_client.py` in another to interact with it via prompts.

4

Where is recorded data stored?

Each recording session is saved under `data/YYYYMMDD/taskid/summary_event_<timestamp>.json`. The replay lists are stored in `data_processed/exact_replay/` and `data_processed/smart_replay/`.

5

I get a "no task‑start file" error when generating replay lists. What does it mean?

The generators require a full recording session that includes exactly one task‑start and one task‑finish event. Ensure the Chrome extension captured a complete session before trying to generate the replay lists.

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