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MCP server · RAG

Say Hello Smithery MCP Server

Enable AI-assisted development with integrated workflow automation, Python hosting management, and cloud deployment monitoring. Simplify your development process by leveraging pre-configured MCP servers for n8n, PythonAnywhere, and Render. Enhance productivity with specialized tools and secure API credential handling.

Unclaimed last commit a year ago rag
34Low

Scored 6 months ago · breakdown

About Say Hello Smithery MCP Server

Say Hello Smithery MCP Server is an MCP server published by Bzcasper in the RAG category: enable AI-assisted development with integrated workflow automation, Python hosting management, and cloud deployment monitoring. Simplify your development process by leveraging pre-configured MCP servers for n8n, PythonAnywhere, and Render. Enhance productivity with specialized tools and secure API credential handling.

Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/Bzcasper/say-hello-smithery-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (20)

activate_n8n_workflowActivate an n8n workflow to start processing

Parameters not published.

automate_browser_taskComplete a complex browser automation task using AI

Parameters not published.

create_integrated_workflowCreate a workflow that spans multiple platforms (n8n, PythonAnywhere, Render, Browser)

Parameters not published.

create_n8n_workflowCreate a new n8n workflow with specified nodes and configuration

Parameters not published.

create_pythonanywhere_webappCreate a new web application on PythonAnywhere

Parameters not published.

deploy_pythonanywhere_codeDeploy code to PythonAnywhere web application

Parameters not published.

deploy_render_serviceDeploy a service to Render from GitHub repository

Parameters not published.

execute_workflow_chainExecute a complete workflow chain across all integrated platforms

Parameters not published.

extract_web_dataExtract specific data from a webpage using AI vision and automation

Parameters not published.

get_n8n_node_infoGet detailed information about a specific n8n node

Parameters not published.

Show all 20 tools
get_render_deployment_statusCheck the deployment status of a Render service

Parameters not published.

list_pythonanywhere_filesList files and directories in a PythonAnywhere path

Parameters not published.

list_render_servicesList all Render services for the account

Parameters not published.

navigate_browserNavigate to a specific URL using AI-driven browser automation

Parameters not published.

process_data_gpuProcess large datasets using GPU acceleration via Modal Labs

Parameters not published.

run_ai_inference_gpuRun AI model inference on GPU via Modal Labs

Parameters not published.

run_pythonanywhere_consoleExecute a command in PythonAnywhere console

Parameters not published.

search_n8n_nodesSearch for n8n workflow nodes by name, description, or category

Parameters not published.

search_web_aiPerform intelligent web search and analysis

Parameters not published.

validate_n8n_workflowValidate a complete n8n workflow configuration

Parameters not published.

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Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

Say Hello - Smithery MCP Project

A TypeScript project configured with comprehensive Model Context Protocol (MCP) server integrations for enhanced AI-assisted development.

Features

  • TypeScript Runtime: Built with Smithery for modern TypeScript development
  • MCP Integration: Pre-configured with n8n, PythonAnywhere, and Render MCP servers
  • AI-Enhanced Development: Claude Code integration with specialized tools

MCP Servers

Configured Services

  1. n8n-mcp: Workflow automation platform integration
  2. pythonanywhere-mcp-server: Python hosting platform management
  3. render: Cloud deployment and monitoring

Security

  • All API credentials are base64 encoded
  • Project-level MCP configuration in .mcp.json
  • Sensitive data isolation

Getting Started

  1. Install Dependencies

    npm install
    
  2. Setup MCP Servers

    ./scripts/setup-mcp.sh
    
  3. Validate MCP Configuration

    node scripts/validate-mcp.js
    
  4. Development

    npm run dev
    
  5. Build

    npm run build
    

Quick MCP Setup

For immediate MCP server setup with Claude Code:

# Run the automated setup
chmod +x scripts/setup-mcp.sh && ./scripts/setup-mcp.sh

# Validate configuration
node scripts/validate-mcp.js

MCP Usage

When using Claude Code in this project, you'll have access to:

  • n8n workflow development and validation
  • PythonAnywhere deployment and management
  • Render service deployment and monitoring

See prompts/mcp-setup.md for detailed usage instructions.

Project Structure

├── src/           # TypeScript source code
├── prompts/       # MCP setup and usage guides
├── resources/     # MCP tools documentation
├── .mcp.json      # MCP server configuration
├── smithery.yaml  # Smithery configuration
└── package.json   # Node.js dependencies

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Say Hello Smithery MCP Server

How do I install Say Hello Smithery MCP Server?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Say Hello Smithery MCP Server safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Say Hello Smithery MCP Server still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.