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MCP

Agent use cases

• Gmail: https://github.com/jasonsum/gmail-mcp-server?tab=readme-ov-file#gmail-server-for-model-context-protocol-mcp
• Video Editing: https://github.com/burningion/video-editing-mcp?tab=readme-ov-file#using-tools-in-practice
• Rijksmuseum's collection: https://github.com/r-huijts/rijksmuseum-mcp?tab=readme-ov-file#example-use-cases

https://github.com/kimtaeyoon83/mcp-server-youtube-transcript

timwu-ipevo

You can manage temporary SSH configurations without touching your ~/.ssh directory at all by using a completely separate temporary directory and leveraging the -F option with ssh along with the GIT_SSH_COMMAND environment variable.

Here's how:

1. Create a temporary directory outside of ~/.ssh. For example:

mkdir -p /tmp/my_temp_ssh

timwu-ipevo

>>> create a simple LLM chatbot interface with python package ollama and streamlit.
Here's an example of how to create a simple LLM (Large Language Model) chatbot interface using
the `ollama` library and Streamlit.

Step 1: Install Required Libraries

First, you'll need to install the ollama library and Streamlit. You can do this by running the following command in your terminal:

timwu-ipevo

graph TD
    A[User Query] -->|Entity Description + Embedding| B[Extracted Entities]
    B --> C[Entity-Text Unit Mappings]
    C --> D[Candidate Text Units]
    D --> E[Ranking + Filtering]
    E --> F[Prioritized Text Units]
    F --> G[Response]

 B --> H[Entity-Report Mappings]

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requests
tqdm
bs4