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.
FAQs
It lets Claude securely access tools you define. For example, an MCP server could let Claude: query your project management API for status updates, search your internal wiki for answers, or add a row to your customer database—all through conversation.
Security is paramount. Your data stays within your ecosystem. The MCP server acts as a secure bridge—Claude sends a request, your server processes it internally, and returns the result. Your secrets and data are never exposed to third-party AI models.
The MCP server can be hosted centrally. Team members then configure Claude Desktop or Claude Code on their machines to point to your server's address, a one-time setup.
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.
FAQs
It lets Claude securely access tools you define. For example, an MCP server could let Claude: query your project management API for status updates, search your internal wiki for answers, or add a row to your customer database—all through conversation.
Security is paramount. Your data stays within your ecosystem. The MCP server acts as a secure bridge—Claude sends a request, your server processes it internally, and returns the result. Your secrets and data are never exposed to third-party AI models.
The MCP server can be hosted centrally. Team members then configure Claude Desktop or Claude Code on their machines to point to your server's address, a one-time setup.