meGPT - upload an author's content into an LLM

by adrianco

287 stars

684 downloads

Not rated

GitHub

About

Code to process many kinds of content by an author into an MCP server

Details

Author: adrianco
GitHub stars: 287
Downloads: 684
Categories: AI

- Supports books, blogs, Twitter archives, podcasts, and videos.
- Includes an MCP server with semantic search and filtering.
- Automatically detects and processes YouTube videos, playlists, and channels.
- Handles Medium and Blogger archive extraction.
- Generates MCP resources for any author directory.
- Supports STDIO, HTTP, and SSE transports.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name meGPT - upload an author's content into an LLM

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

From the repository

Clone the repository, set up a Python virtual environment, and install dependencies. Run python build.py <author> to process content, then start the MCP server with python mcp_server.py --author <author> for STDIO mode or --transport streamable-http --port 8080 for HTTP.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "megpt - upload an author's content into an llm": {
            "meGPT": {
                "command": "python",
                "args": [
                    "mcp_server.py",
                    "--author",
                    "virtual_adrianco"
                ]
            }
        }
    }
}

McpServers

{
    "meGPT": {
        "command": "python",
        "args": [
            "mcp_server.py",
            "--author",
            "virtual_adrianco"
        ]
    }
}

meGPT - upload an author's content into an LLM

I have 20 years of public content I've produced and presented over my career, and I'd like to have an LLM that is trained to answer questions and generate summaries of my opinions, in my "voice", At this point, I've found a few companies that are building persona's and tried out soopra.ai. To encourage development and competition in this space I have organized my public content and references to sources in this repo.

My own content is stored or linked to in authors/virtual_adrianco and consists of:
- 4 published books (pdf of two provided), ~10 forewords to books, ~100 blog posts (text)
- Twitter archive 2008-2022 (conversation text)
- Mastodon.social - 2021-now https://mastodon.social/@adrianco (RSS at https://mastodon.social/@adrianco.rss)
- Github projects (code)
- Blog posts from https://adrianco.medium.com extracted as text to authors/virtual_adrianco/medium_posts (with extraction script)
- Blog posts from https://perfcap.blogspot.com extracted as text to authors/virtual_adrianco/blogger_percap_posts (with extraction script)
- ~100 presentation decks (images) greatest hits: https://github.com/adrianco/slides/tree/master/Greatest%20Hits
- ~20 podcasts (audio conversations, should be good Q&A training material)
- over 135 videos of talks and interviews (audio/video/YouTube individual videos, playlists, and entire channels)

If another author wants to use this repo as a starting point, clone it and add your own directory of content under authors. If you want to contribute the content freely for other people to use as a training data set, then send a pull request and I'll include it here. The scripts in the code directory are there to help pre-process content for an author by extracting from a twitter or medium archive that has to be downloaded by the account owner.

Creative Commons - attribution share-alike. Permission explicitly granted for anyone to use as a training set to develop the meGPT concept. Free for use by any author/speaker/expert resulting in a Chatbot that can answer questions as if it was the author, with reference to published content. I have called my own build of this virtual_adrianco - with opinions on cloud computing, sustainability, performance tools, microservices, speeding up innovation, Wardley mapping, open source, chaos engineering, resilience, Sun Microsystems, Netflix, AWS etc. etc. I'm happy to share any models that are developed. I don't need to monetize this, I'm semi-retired and have managed to monetize this content well enough already, I don't work for a big corporation any more..

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meGPT - upload an author's content into an LLM

About

Details

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Setting up with Highlight

Setting up with Cursor

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Setting up with Claude Desktop

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Setting up with Windsurf

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Setting up with Cline

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Setting up with Goose

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From the repository

Claude Desktop / Cursor

McpServers

meGPT - upload an author's content into an LLM

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

meGPT - upload an author's content into an LLM

Install

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