MCP_server_fastapi
About
# MCP_server_fastapi --- ## 🚀 Getting Started Follow the steps below to install dependencies, run the server, and debug your tools locally. --- ### 📦 Install Dependencies Use [`uv`](https://github.com/astral-sh/uv) (a faster Python package manager) to install project dependencies: ```bash uv pip install -r…
Explore
- Dependency management with uv for faster installation
- Supports both Python and uv run commands
- Debugging with MCP Inspector
- Requires Python 3.12+
- Includes a weather tool (indicated by weather.py)
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
MCP_server_fastapiCommand (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
From the repository
Follow the steps below to install dependencies, run the server, and debug your tools locally.
---
Use uv (a faster Python package manager) to install project dependencies:
uv pip install -r pyproject.toml
---
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp_server_fastapi": {
"MCP_server_fastapi": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"pyproject.toml"
]
}
}
}
}McpServers
{
"MCP_server_fastapi": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"pyproject.toml"
]
}
}🚀 Getting Started
Follow the steps below to install dependencies, run the server, and debug your tools locally.
---
📦 Install Dependencies
Use uv (a faster Python package manager) to install project dependencies:
uv pip install -r pyproject.toml
---
▶️ Start the Server
You can run the server using one of the following options:
Option 1: Using Python
python src/server.py
Option 2: Using uv
uv run start
---
🧪 Debug and Test
You can test your tool locally using MCP Inspector:
mcp dev ./src/weather.py
---
🛠 Requirements
- Python 3.12+
- uv installed
- mcp CLI installed
---
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