Claude AI Extension Development (MCP Servers) by Ari HarrisonClaude AI Extension Development (MCP Servers) by Ari Harrison
Claude AI Extension Development (MCP Servers)Ari Harrison
I unlock Claude AI's full potential for your business by building custom extensions (MCP servers) that connect it directly to your private tools and data. This allows your team to use Claude to analyze internal documents, update databases, or trigger workflows securely. I specialize in making AI a practical team member that works with your specific systems.
What's included
Custom MCP Server Package
A working MCP server with 2-3 integrated tools (e.g., "query internal database," "fetch project status").
Format: Node.js or Python source code in a Git repository.
Details: Includes configuration files and scripts for local testing with Claude Desktop/Code.
Tool Definitions & Configuration
Documented specifications (tools.json or server.ts) for each AI-accessible tool, with authentication setup.
Format: JSON/TypeScript configuration files within the repository.
Details: Clear descriptions, parameter schemas, and secure credential handling for each tool.
Integration & Usage Guide
Instructions for installation, secure deployment, and daily usage for the client's team.
Format: README.md and a 45-minute training session.
Details: Shows how to run the server, add new tools, and example prompts to use with Claude.
I unlock Claude AI's full potential for your business by building custom extensions (MCP servers) that connect it directly to your private tools and data. This allows your team to use Claude to analyze internal documents, update databases, or trigger workflows securely. I specialize in making AI a practical team member that works with your specific systems.
What's included
Custom MCP Server Package
A working MCP server with 2-3 integrated tools (e.g., "query internal database," "fetch project status").
Format: Node.js or Python source code in a Git repository.
Details: Includes configuration files and scripts for local testing with Claude Desktop/Code.
Tool Definitions & Configuration
Documented specifications (tools.json or server.ts) for each AI-accessible tool, with authentication setup.
Format: JSON/TypeScript configuration files within the repository.
Details: Clear descriptions, parameter schemas, and secure credential handling for each tool.
Integration & Usage Guide
Instructions for installation, secure deployment, and daily usage for the client's team.
Format: README.md and a 45-minute training session.
Details: Shows how to run the server, add new tools, and example prompts to use with Claude.