Can I run Claude Code itself as an MCP server?

Yes, by running the 'claude mcp serve' command, you can expose Claude Code's internal tools to other applications like the Claude Desktop app.

Which transport method should I use for MCP?

HTTP is the recommended transport for cloud-based or remote servers, while stdio is the standard choice for local tools and scripts running on your machine.

What does the tool naming convention look like?

MCP tools follow the 'mcp__ __ ' pattern (e.g., mcp__github__search_repos), allowing Claude to uniquely identify tools across multiple connected servers.

What is the Model Context Protocol (MCP)?

MCP is an open standard that allows AI agents like Claude to connect to external data sources and tools seamlessly through a standardized communication layer.

How do I share MCP settings with my team?

Use the '--scope project' flag when adding a server to save the configuration to a '.mcp.json' file within your repository, which can then be version-controlled.

MCP Server Integration & Development

Name: MCP Server Integration & Development
Author: hgeldenhuys

byhgeldenhuys

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API Development

Empowers Claude Code to connect with external APIs, databases, and custom tools using the Model Context Protocol (MCP).

About

This skill provides a comprehensive framework for extending Claude Code's capabilities through the Model Context Protocol (MCP). It allows developers to build, configure, and manage custom server integrations that expose specialized tools, resources, and prompts directly within the Claude environment. By supporting multiple transport protocols like HTTP and stdio, along with robust OAuth authentication and environment variable management, it bridges the gap between AI-driven code assistance and your specific production data, private APIs, and local development environments.

Key Features

Automated OAuth authentication flows for secure cloud API access
Real-time management via CLI and slash commands like /mcp
1 GitHub stars
Scoped configuration (local, project, user) for team collaboration
Multi-transport support including HTTP and stdio for local and remote servers
Standardized tool naming conventions for predictable AI interaction

Use Cases

Building custom developer utilities that integrate directly with Claude's toolset
Connecting Claude Code to private internal APIs and proprietary databases
Creating team-shared MCP configurations via project-scoped JSON files

About

Key Features

Automated OAuth authentication flows for secure cloud API access
Real-time management via CLI and slash commands like /mcp
1 GitHub stars
Scoped configuration (local, project, user) for team collaboration
Multi-transport support including HTTP and stdio for local and remote servers
Standardized tool naming conventions for predictable AI interaction

Use Cases

Building custom developer utilities that integrate directly with Claude's toolset
Connecting Claude Code to private internal APIs and proprietary databases
Creating team-shared MCP configurations via project-scoped JSON files