How to Configure Tavily MCP Server in LM Studio

Posted on May 14, 2026 by Ahmed Tawfik

I needed to add a web search functionality to my models in LM Studio, so I simply had to add the Tavily MCP Server configuration to LM studio, along with my API key of course.

You simply click on Edit msp.json after clicking + Install on the top right-hand side:

then replace the values there with the following:

{
  "mcpServers": {
    "tavily-remote": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.tavily.com/mcp/?tavilyApiKey=tvly-prod-THE_REST_OF_YOUR_API_KEY"
      ]
    }
  }
}

Click on Save and you are good to go!

Don’t forget to enable it :), Enjoy!

Source:

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Count JSON objects in a file using jq

Posted on February 27, 2026 by Ahmed Tawfik

Simply run:

cat input_file.json | jq 'length'

For example:

{
  "entity_id_01": {
    "field_a": "value_a",
    "field_b": "value_b",
    "field_c": "This is a generic feedback message"
  },
  "entity_id_02": {
    "field_a": "value_a",
    "field_b": "value_b",
    "field_c": "This is a generic feedback message"
  }
}

Will return 2!

That’s it, Enjoy!

Sources:

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Enable debug mode for Ollama on Linux/mac

Posted on February 24, 2026 by Ahmed Tawfik

Simply run it as follows:

OLLAMA_DEBUG=1 ollama serve

Note: You might want to export another variable to show the ollama serve command where the models are saved in case you receive a 404 about model not available, this happened to me for some reason on Linux only.

In this case, just export these two variables and then run the command:

export OLLAMA_MODELS=/usr/share/ollama/.ollama/models
export OLLAMA_DEBUG=1
ollama serve

That’s it, Enjoy!

Sources

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Build & Run LibreTranslate Docker Image for Offline Work

Posted on February 18, 2026 by Ahmed Tawfik

The documentation on https://hub.docker.com/r/libretranslate/libretranslate was a bit misleading, so here are the proper steps:

Building

git clone https://github.com/uav4geo/LibreTranslate
cd LibreTranslate
docker build --no-cache --progress=plain -f docker/Dockerfile --build-arg with_models=true -t libretranslate .

The above will take some time to build and download all the dictionaries for offline use.

Running

docker run -it -p 5000:5000 libretranslate

That’s it, Enjoy!

Sources

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Set Ollama default context size on Linux

Posted on February 3, 2026 by Ahmed Tawfik

Just as simply as this:

sudo systemctl edit ollama.service

Then add the following lines (to set to 64k tokens context size):

[Service]
Environment="OLLAMA_CONTEXT_LENGTH=64000"

Save and exit, then restart Ollama:

sudo service ollama restart

And you’re done:

ollama ps
NAME           ID              SIZE     PROCESSOR    CONTEXT    UNTIL
gpt-oss:20b    17052f91a42e    15 GB    100% GPU     64000      4 minutes from now

Note: Tested on Ubuntu 24.04 with Ollama 0.15

That’s it, Enjoy!

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