
Mcp Integration
- 173 installs
- 404 repo stars
- Updated August 5, 2026
- aiskillstore/marketplace
Connect Claude Code agents to external APIs, databases, and services via MCP servers—defining tool schemas, auth, transports, and marketplace-ready packages from aiskillstore.
About
Skill for building Model Context Protocol integrations in the aiskillstore marketplace ecosystem—wiring AI agents to external tools via MCP server setup, schema design, authentication flows, and publishable integration packages.
- Configure MCP server connections and tool discovery for agents
- Define JSON tool schemas with parameters, returns, and error contracts
- Handle OAuth, API keys, and secrets for external MCP providers
- Package and publish MCP integrations to the aiskillstore marketplace
- Debug tool invocation, transport, and schema mismatch failures
Mcp Integration by the numbers
- 173 all-time installs (skills.sh)
- Ranked #3,081 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 173 |
|---|---|
| repo stars | ★ 404 |
| Last updated | August 5, 2026 |
| Repository | aiskillstore/marketplace ↗ |
What it does
Connect Claude Code agents to external APIs, databases, and services via MCP servers—defining tool schemas, auth, transports, and marketplace-ready packages from aiskillstore.
Files
MCP Integration
This skill creates and optimizes Model Context Protocol (MCP) integrations, including server configurations, authentication, and performance optimization.
When to Use This Skill
- When creating new MCP server configurations
- When integrating services with MCP
- When optimizing MCP performance
- When implementing MCP authentication
- When structuring MCP servers
- When troubleshooting MCP integrations
What This Skill Does
1. MCP Configuration: Creates MCP server configurations 2. Integration Design: Designs MCP integrations with services 3. Authentication: Implements secure authentication 4. Performance: Optimizes MCP performance 5. Security: Ensures MCP security best practices 6. Testing: Tests and validates MCP configurations
How to Use
Create MCP Integration
Create an MCP integration for GitHub APIConfigure MCP server for database accessSpecific Tasks
Optimize this MCP server configuration for performanceMCP Configuration
Standard Format
{
"mcpServers": {
"ServiceName MCP": {
"command": "npx",
"args": ["-y", "package-name@latest"],
"env": {
"API_KEY": "required-env-var"
}
}
}
}Server Types
API Integration MCPs:
- REST API connectors
- GraphQL integrations
- Database connectors
- Cloud service integrations
Development Tool MCPs:
- Code analysis integrations
- Build system connectors
- Testing framework integrations
- CI/CD pipeline connectors
Examples
Example 1: GitHub MCP
Input: Create GitHub MCP integration
Output:
## MCP Integration: GitHub
### Configuration{ "mcpServers": { "GitHub Integration MCP": { "command": "npx", "args": ["-y", "github-mcp@latest"], "env": { "GITHUB_TOKEN": "ghp_your_token_here", "GITHUB_API_URL": "https://api.github.com" } } } }
### Usage
Install with: `npx claude-code-templates@latest --mcp="github-integration"`
Best Practices
MCP Design
1. Security: Use environment variables for secrets 2. Performance: Implement connection pooling 3. Error Handling: Robust error handling and retries 4. Validation: Validate all inputs and responses 5. Documentation: Document required environment variables
Related Use Cases
- MCP server creation
- Service integration
- MCP configuration
- Performance optimization
- Security implementation
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"version": "1.0.1",
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"actual_capabilities": [
"Creates MCP server configurations in JSON format",
"Designs MCP integration patterns for REST APIs and GraphQL",
"Implements secure authentication using environment variables",
"Optimizes MCP performance with connection pooling",
"Documents required environment variables and setup steps"
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"limitations": [
"Does not install or execute MCP servers",
"Does not access external APIs or services",
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"use_cases": [
{
"target_user": "AI Developers",
"title": "Build AI tool integrations",
"description": "Connect AI assistants to external services like GitHub, databases, and cloud platforms using MCP protocol."
},
{
"target_user": "DevOps Engineers",
"title": "Configure MCP servers",
"description": "Set up MCP server configurations for CI/CD pipelines, build systems, and testing frameworks."
},
{
"target_user": "API Architects",
"title": "Design integration patterns",
"description": "Create scalable MCP server architectures for REST and GraphQL API integrations."
}
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"title": "Basic MCP Setup",
"scenario": "Create a simple MCP integration",
"prompt": "Create an MCP integration for GitHub API"
},
{
"title": "Database Connection",
"scenario": "Set up database access",
"prompt": "Configure MCP server for database access"
},
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"title": "Performance Tuning",
"scenario": "Optimize existing configuration",
"prompt": "Optimize this MCP server configuration for performance"
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"output_examples": [
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"input": "Create an MCP integration for GitHub API",
"output": [
"Configuration file in JSON format with server settings",
"Environment variable setup for authentication tokens",
"Best practices for API rate limiting and error handling",
"Installation instructions using npx"
]
},
{
"input": "Configure MCP server for database access",
"output": [
"Database connection configuration template",
"Required environment variables for credentials",
"Connection pooling recommendations",
"Error handling patterns for database operations"
]
}
],
"best_practices": [
"Always store API keys and secrets in environment variables, never in configuration files",
"Implement connection pooling and request caching to optimize performance",
"Add robust error handling with retries and fallbacks for production deployments"
],
"anti_patterns": [
"Hardcoding credentials or tokens directly in configuration files",
"Skipping input validation for API responses and user inputs",
"Failing to document required environment variables and dependencies"
],
"faq": [
{
"question": "Which AI tools support MCP integrations?",
"answer": "MCP is supported by Claude, Claude Code, and OpenAI Codex. Each platform has specific configuration requirements."
},
{
"question": "What are the resource limits for MCP servers?",
"answer": "Resource limits depend on the host AI tool. Each server runs in isolation with configurable memory and timeout settings."
},
{
"question": "How do I integrate MCP with existing applications?",
"answer": "Add MCP server configurations to your AI tool's settings file. Each server specifies command, arguments, and environment variables."
},
{
"question": "Is my data secure when using MCP servers?",
"answer": "MCP servers only access data you explicitly configure. Secrets are passed through environment variables and never stored in configs."
},
{
"question": "Why is my MCP server not connecting?",
"answer": "Check that required environment variables are set, the server package is installed, and network access is allowed for the service endpoint."
},
{
"question": "How does MCP compare to traditional API integrations?",
"answer": "MCP provides a standardized, secure protocol for AI tools to access external services with built-in authentication and context management."
}
]
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Related skills
Forks & variants (1)
Mcp Integration has 1 known copy in the catalog totaling 27 installs. They canonicalize to this original listing.
- 89jobrien - 27 installs