Unit Expert MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Unit Expert MCPconvert 5 feet to meters"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Unit Expert MCP
A small Model Context Protocol server that converts common units for length, weight, temperature, area, and volume.
Tools
convert_length(value, from_unit, to_unit)convert_weight(value, from_unit, to_unit)convert_temperature(value, from_unit, to_unit)convert_area(value, from_unit, to_unit)convert_volume(value, from_unit, to_unit)list_supported_units()
Supported Units
Length:
mm,cm,m,km,in,ft,yd,mi
Weight:
mg,g,kg,t,oz,lb
Temperature:
c,f,k
Area:
mm2,cm2,m2,km2,in2,ft2,yd2,acre
Volume:
ml,l,m3,in3,ft3,cup,pt,qt,gal,floz
Run Locally
Install dependencies:
uv syncRun the server directly:
uv run unit-expert-mcpRun the server with Streamable HTTP:
uv run unit-expert-mcp --transport streamable-http --host 0.0.0.0 --port 8000Or run with the MCP CLI:
uv run mcp run src/unit_expert_mcp/server.pyTest with MCP Inspector:
uv run mcp dev src/unit_expert_mcp/server.pyDocker
Build and run the server:
docker build -t unit-expert-mcp .
docker run --rm -p 8000:8000 unit-expert-mcpThe Streamable HTTP endpoint is:
http://localhost:8000/mcpClient Config Example
For clients that launch servers over stdio, use:
{
"mcpServers": {
"unit-expert": {
"command": "uv",
"args": [
"--directory",
"/path/to/unit-expert-mcp",
"run",
"unit-expert-mcp"
]
}
}
}Development
uv run pytest
uv run ruff check .This server cannot be installed
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