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.
连接能力
Pratik Kumar Cse script generation mcp 为 AI Agent 提供什么
来源目录未提供结构化功能列表，请在使用前阅读源仓库文档。
安全
MCP 收录不等于安全审核
MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前，请检查代码、环境变量、网络行为、软件包来源与维护状态。
README
仓库文档
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Development/Unpublished Servers Configuration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.
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