MCP Server
@santhoshkamalmurthy
About MCP Server
No overview available yet
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-demo-santhoshkamalmurthy": {
"command": "uv",
"args": [
"init",
"."
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MCP Server?
MCP Server is an implementation that provides integration with various AI services and tools via the Model Context Protocol. It is intended for developers who need to connect MCP-compatible clients to AI services.
How to use MCP Server?
Install Python 3.8+, uv (Universal Virtualenv), then run uv init . and uv add mcp[cli]. Configure the server in a JSON object under mcpServers with the command uv run --with mcp[cli] mcp run /path/to/main.py. Start the server with uv run mcp run main.py.
Key features of MCP Server
- Integration with various AI services and tools
- Uses the Model Context Protocol (MCP)
- Configurable via JSON configuration object
- Runs with Python 3.8+ and uv
Use cases of MCP Server
- Connecting AI service tools to MCP‑compatible clients
- Running a local MCP server for custom AI workflows
FAQ from MCP Server
What are the prerequisites?
Python 3.8 or later and uv (Universal Virtualenv) are required.
How do I install the server?
Initialize with uv init ., add mcp[cli] via uv add mcp[cli], then run uv run mcp install main.py.
How do I configure the server?
Edit the JSON configuration object, setting the command, args, and mcpServers fields as shown in the README.
How do I start the server?
Run uv run mcp run main.py from the project directory.
What clients is the server compatible with?
The server is designed to work with any MCP‑compatible client.
Frequently asked questions
What are the prerequisites?
Python 3.8 or later and uv (Universal Virtualenv) are required.
How do I install the server?
Initialize with `uv init .`, add `mcp[cli]` via `uv add mcp[cli]`, then run `uv run mcp install main.py`.
How do I configure the server?
Edit the JSON configuration object, setting the `command`, `args`, and `mcpServers` fields as shown in the README.
How do I start the server?
Run `uv run mcp run main.py` from the project directory.
What clients is the server compatible with?
The server is designed to work with any MCP‑compatible client.
Basic information
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