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MCP_SERVER

MCP_SERVER

Local
github.com/ani1009Productivity0Updated 79w ago
Repository

About MCP_SERVER

MCP_SERVER is a Python SDK-based MCP server project described as a setup guide for AI sticky notes. It outlines creating a Python environment, installing the MCP package, and using Claude Desktop to generate and save topic-related notes.

Key features

  1. 01Python virtual environment setup
  2. 02MCP Python SDK installation
  3. 03Claude Desktop setup
  4. 04Generate topic-related notes
  5. 05Save generated notes

Use cases

  1. 01Set up an AI sticky-notes project
  2. 02Generate notes through Claude Desktop

MCP support

The project uses the Python SDK to set up an MCP server and install it for Claude Desktop.

#mcp#python-sdk#ai-notes

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

In this File I Setup MCP Server Using Python SDK - https://github.com/modelcontextprotocol/python-sdk

Download Claude Desktop App - https://claude.ai/download

Guidelines:- (For "AI STICKY NOTES)

  1. Setup Virtual Environment
  2. Install uv (For Windows - powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" )
  3. Initialize Project using command - uv init
  4. uv add "mcp[cli]"
  5. uv run mcp install main.py (here you can give any name to your file)
  6. Open Claude Desktop( If it is already Opened then close it and from Task Manager Stop it and Relaunch it)
  7. Enter Prompt Regarding Your Custom AI Notes
  8. It will Generates Notes and Save those Notes Regarding that Particular Topic

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.