Development · MODEL CONTEXT PROTOCOL
Pratik Kumar Cse script generation mcp
Pratik Kumar Cse script generation mcp is a community-listed Model Context Protocol server. Review the source repository before installation.
WHAT IT CONNECTS
What Pratik Kumar Cse script generation mcp gives an AI Agent
The source catalog does not include a structured feature list. Review the repository documentation before use.
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.
README
Repository documentation
A MCP server project
The server implements a simple note storage system with:
- Custom note:// URI scheme for accessing individual notes
- Each note resource has a name, description and text/plain mimetype
The server provides a single prompt:
- summarize-notes: Creates summaries of all stored notes
- Optional "style" argument to control detail level (brief/detailed)
- Generates prompt combining all current notes with style preference
The server implements two tools:
- add-note: Adds a new note to the server
- Takes "name" and "content" as required string arguments
- Updates server state and notifies clients of resource changes
- script_generate: Generates a script based on provided topic and keywords
- Takes "topic" and "keywords" as required string arguments
- Uses multiple agents to generate and refine the script
[TODO: Add configuration details specific to your implementation]
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development/Unpublished Servers Configuration
``` "mcpServers": { "script_generator_server": { "command": "uv", "args": [ "--directory", "C:\Users\INDIA\Desktop\mcp\script_generator_server", "run", "script_generator_server" ] } } ```Published Servers Configuration
``` "mcpServers": { "script_generator_server": { "command": "uvx", "args": [ "script_generator_server" ] } } ```To prepare the package for distribution:
- Sync dependencies and update lockfile:
uv sync- Build package distributions:
uv buildThis will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publishNote: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory C:\Users\INDIA\Desktop\mcp\script_generator_server run script-generator-serverUpon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
COMMUNITY