mcp-selenium-python
Enables LLMs to automate browser tasks (navigation, clicks, text input) via Selenium through the Model Context Protocol.
README
MCP Selenium Server & Client
This project provides a Model Context Protocol (MCP) server and client implementation for Selenium-based browser automation. It allows LLMs or external tools to interact with a browser through a standardized protocol, supporting actions like navigation, input, and clicks.
š Features
- MCP Server: Exposes Selenium browser automation as tools.
- MCP Client: Sends tool calls (e.g., navigate, click, input) and receives structured results.
- Extensible Actions: Modular design for actions (
navigate,click,input). More actions to be added. - Driver Management: Abstraction for Selenium sessions and locator strategies.
- Tool Facade: Unified interface for tools (
mcp_tools,webtools). - Logging & Context: Centralized log writer and execution context.
š Project Structure
.
āāā client/
ā āāā client.py # MCP client implementation
ā āāā llm_client.py # Example LLM client integration (currently set to use Gemini)
ā
āāā server/
ā āāā mcp_selenium_server.py # MCP server entry point
ā āāā custom_context.py # Execution context handling
ā āāā log_writer.py # Logging utilities
ā āāā actions/ # Browser actions (navigate, click, input)
ā āāā engine/ # Driver/session/locator management
ā āāā tools/ # Tool definitions (MCP tools, web tools)
ā
āāā .env # Environment variables
āāā pyproject.toml # Project dependencies & configuration
āāā uv.lock # Dependency lock file
āāā LICENSE # License file
āāā README.md # (this file)
āļø Installation
-
Clone the repo:
git clone <repo-url> cd mcp-selenium -
Install dependencies (using uv or poetry):
uv sync -
Set environment variables in
.envif needed (e.g., LLM API Key).
ā¶ļø Usage
Start the MCP Server
python server/mcp_selenium_server.py
Run the Client
python client/client.py
Example JSON-RPC Request
{
"action": "launch_page",
"args": {
"url": "https://google.com",
"browser": "edge",
"headless": false
}
}
Example Actions
launch_pageā Open a URLclickā Click an elemententer_textā Type text into a field At present only these actions are added but can be extended for more actions.
š Development
- Python 3.10+
- Selenium WebDriver
- MCP protocol integration
Lint & format before committing:
uv run black .
uv run flake8 .
š License
This project is licensed under the terms of the MIT License.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.