Welcome to the MCP-Agent-Template. This software helps you run smart AI agents that work with documents, websites, and multi-agent systems. This guide will lead you step-by-step on how to download, install, and use the program, even if you have no technical background.
To get started, you need to download the software files first. The software is hosted on GitHub under the "Releases" section.
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Click this link to visit the download page:
Download MCP-Agent-Template -
On that page, find the latest release version. Releases are usually listed with dates and names.
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Inside the latest release, look for files suitable for your computer system. These might be
.exe,.zip, or other formats. -
Download the appropriate file to your computer.
- If you downloaded a
.zipfile, open it and extract its contents to a new folder on your desktop or another easy-to-find location. - If the download is a setup file (like
.exefor Windows or.dmgfor macOS), double-click it and follow the prompts to install the app. - Once installed, you can run the program from your desktop or applications folder.
To run MCP-Agent-Template smoothly, ensure your computer meets these minimum specs:
- Operating System: Windows 10 or higher, macOS 10.15 or higher, or Linux (any recent version)
- Processor: At least 2.0 GHz dual-core CPU
- Memory (RAM): 4 GB or more
- Storage: Minimum 500 MB free disk space for installation and working files
- Internet Connection: Required for some features, like accessing AI services online
This software includes three main parts you can use. Each part helps AI work with documents and websites in different ways.
This part lets you share a folder of documents through a simple online system. You can:
- Set up a server that reads documents (like PDFs or text files) in a folder.
- Use tools to list these documents or get their contents.
- Connect to agent workflows to let AI read and understand your documents automatically.
This tool lets you ask questions about websites or document texts.
- You upload files (plain text or PDFs).
- The program turns these documents into searchable information stored in a service called Pinecone.
- It uses an AI model from OpenAI to find the best answers for your questions.
This section shows how different AI robots work together on complex tasks.
- It allows several AI agents to communicate.
- They share information and help complete tasks by dividing work.
- This approach helps improve results through collaboration.
Here is a simple plan to start using the software:
Decide which documents (text or PDFs) you want to work with. Put these files into a folder on your computer.
- Open the folder where you installed the software.
- Find and launch the application or script named for the docs server.
- The server will open a small local website where it lists your documents.
- You can see and read the files through your browser by visiting the displayed address (usually
http://localhost:8000).
- Find and start the website-qa-bot program.
- Upload your files to it using the simple interface.
- The bot indexes the text for quick searching.
- Enter questions in the bot interface to get answers based on your uploaded documents.
- To try multi-agent features, launch the related program.
- It runs different AI agents in steps that help with complex tasks.
- Observe how agents exchange messages and assist one another.
- You can test built-in sample workflows or create new ones using simple configurations.
The software uses some settings you can change to fit your needs. Here are common configurations and where to find them:
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Change Document Folder:
Set the folder path in the config file for the docs server to tell it where your documents live. -
Add Your Pinecone API Key:
The website-qa-bot needs this key to store and search embeddings. You can get it from the Pinecone website after creating a free account. -
Add OpenAI API Key:
The bot uses OpenAI for smart answers. Add your OpenAI API key in the settings to enable this. -
Adjust Ports:
If default web addresses conflict with other programs, you can change ports in the config files.
If you run into issues, try these fixes:
- Make sure your internet connection works since the AI features need it.
- Check if the correct API keys are added in the configuration files.
- Restart the programs after making changes.
- Ensure your operating system and drivers are up to date.
- Look for error messages in the program’s output to understand problems.
The MCP-Agent-Template is designed to be simple but powerful. If you want to learn more:
- Visit the main GitHub page: MCP-Agent-Template
- Check online forums or community pages about AI agents and document search.
- Review Pinecone and OpenAI websites for more on how these services work.
If you need help:
- Use the GitHub issues tab on the MCP-Agent-Template repository to report bugs or ask questions.
- Search online for tutorials on FastAPI servers, AI chatbots, and multi-agent systems.
- Ask friends or colleagues who have experience with AI or software setup.