ZMCPTools is a TypeScript MCP server for Claude Code that provides web scraping, knowledge graph memory, and multi-agent coordination tools via the Model Context Protocol.
git clone https://github.com/ZachHandley/ZMCPTools.gitZMCPTools is a custom TypeScript MCP (Model Context Protocol) server designed to extend Claude Code with additional automation capabilities. It includes tools for navigating and scraping web pages, storing and querying a persistent knowledge graph, and coordinating multi-agent workflows. The server indexes scraped content into a database for later retrieval, managing token limits by truncating MCP responses while preserving full storage. It is built for developers who want to augment Claude Code with durable memory, structured web data extraction, and agent-to-agent communication within a single MCP integration.
Install ZMCPTools globally via npm/pnpm (global install is recommended over npx/pnpx). Configure it as an MCP server in your Claude Code settings. A context hook is included to encourage consistent MCP tool use during sessions.
Scraping and indexing web pages for later DOM navigation and content retrieval
Storing and querying a persistent knowledge graph to give Claude Code long-term memory
Coordinating multiple AI agents in a shared workflow using multi-agent tools
Retrieving structured web content without hitting MCP token limits via smart truncation
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/ZachHandley/ZMCPToolsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a TypeScript MCP Server using ZMCPTools for [COMPANY] in the [INDUSTRY] sector. The server should handle [DATA] and integrate with [SPECIFIC_TOOLS]. Provide a detailed implementation plan including setup instructions, key features, and expected outcomes.
# ZMCPTools Implementation Plan for GreenTech Solutions ## Overview GreenTech Solutions, a renewable energy company, aims to automate its data processing workflows using a custom TypeScript MCP Server built with ZMCPTools. This server will handle real-time energy consumption data and integrate with existing IoT devices and analytics tools. ## Key Features - **Real-time Data Processing**: Handle streaming data from IoT sensors with low latency. - **Scalable Architecture**: Design to process up to 10,000 requests per second. - **Integration Capabilities**: Seamlessly connect with GreenTech's existing data analytics platform and reporting tools. - **Security Measures**: Implement robust encryption and access control protocols. ## Implementation Steps 1. **Setup and Configuration**: Install ZMCPTools and configure the development environment. 2. **Data Schema Design**: Define the data schema for energy consumption metrics. 3. **Server Development**: Develop the MCP Server with real-time processing capabilities. 4. **Integration Testing**: Test the server with GreenTech's IoT devices and analytics tools. 5. **Deployment and Monitoring**: Deploy the server and set up monitoring for performance and security. ## Expected Outcomes - **Efficiency**: Reduce data processing time by 40%. - **Scalability**: Support future expansion with additional IoT devices. - **Reliability**: Ensure 99.9% uptime with robust error handling and recovery mechanisms.
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