Install
$ agentstack add mcp-codewithharshai-mcp-agents ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README — it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps — measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
🌐 MCP Agents
MCP Agents is an AI-powered interactive browser assistant built with Streamlit, OpenAI, and Puppeteer using the Model Context Protocol (MCP). Type natural language commands like "Go to Wikipedia and search for Mars" and the app will navigate, click, scroll, and even extract content — all hands-free.
🚀 Features
- Talk to the Web — Interact with websites using simple English commands
- Visual Automation — Take screenshots, click elements, and scroll pages effortlessly
- Flexible Agent System — Powered by the modular MCP Agent framework
- Secure Integration — API keys stored safely with optional secrets config
- Fully Interactive UI — See command results directly in the app interface
🎯 Use Cases
- 💼 Product scraping, news summarization, automated browsing workflows
- 🧪 Educational bots that walk through websites
- 📰 Daily content extraction from dynamic pages
⚙️ Requirements
- Python 3.8 or newer
- Node.js + npm (for Puppeteer server)
- OpenAI API key
⚡ Quick Start
# Clone and enter the project
$ git clone https://github.com/your-username/mcp-agents.git
$ cd mcp-agents
# Install Python dependencies
$ pip install -r requirements.txt
# Verify Node.js setup
$ node --version && npm --version
# Optional: Start Puppeteer agent
$ npx -y @modelcontextprotocol/server-puppeteer
# Run the app
$ streamlit run main.py
Visit http://localhost:8501 in your browser.
🔐 Configure Secrets
Create a file named mcp_agent.secrets.yaml:
openai:
api_key: "your-openai-api-key"
➡️ Make sure this file is listed in .gitignore to avoid leaking credentials.
💬 Example Commands You Can Try
- "Go to www.wikipedia.org"
- "Search for black holes and summarize the page"
- "Click on the first heading"
- "Take a screenshot of the hero section"
- "Scroll down and extract all h2 titles"
📁 Project Overview
mcp-agents/
├── main.py # Streamlit application
├── requirements.txt # Python dependencies
├── README.md # This file
├── mcp_agent.config.yaml # Config for Puppeteer + agent setup
├── mcp_agent.secrets.yaml # API secrets (ignored from Git)
├── .gitignore # File exclusions
📄 License
Licensed under the [MIT License](LICENSE).
🙋♂️ Created By
Built with ❤️ by Harsh. Powered by the open agent framework from MCP and inspired by LastMileAI tooling.
👨💻 Want to build your own AI-powered automation agent? Fork this repo and start customizing!
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: CodeWithHarshAI
- Source: CodeWithHarshAI/MCP-Agents
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.