5.9K skills · sorted by relevance
Discover and call configured MCP server tools through the mcporter command line. Inspect the inputs each tool accepts, invoke external services, and create SKILL.md reference guides with usage examples for newly added servers.
Connect external services and databases to Claude Code plugins through MCP, a protocol for exposing tools to agents. The skill guides server configuration, connection choices, authentication, tool permissions, and testing so plugins can use those services.
Build Python MCP servers that let AI agents use APIs, databases, and file workflows. MCP is a connection standard for agent tools. The skill covers starter templates, local testing, client registration, and deployment as HTTP endpoints.
Scan declared MCP servers and tools for permission, policy, and dependency issues without executing them. Produce JSON or a Markdown table, and set a severity threshold that determines whether a CI check fails.
Build MCP servers, which give AI agents tools for external services, using Python or TypeScript. The skill guides tool design, input validation, error handling, code review, and evaluations based on realistic tasks.
Review source code for MCP, a protocol connecting AI applications to tools. Check authentication, input validation, unsafe execution, and other security risks, then report findings with file and line references and separate manual follow-ups.
Plan how an AI agent should interact with Zoom through MCP, a protocol for calling tools. Assess task suitability, divide responsibilities between MCP and REST APIs, and identify connection, authentication, and client requirements.
Build MCP servers, which give AI agents tools for external services, using Python or TypeScript. The skill guides tool design, input validation, error handling, code review, and evaluations based on realistic tasks.
Build MCP servers, which connect AI agents to external services, using TypeScript or Python. Plan API access, design understandable tools and structured responses, implement authentication and error handling, and check behavior with the intended client.
Build and maintain MCP servers that let AI assistants use tools, read data, and access reusable prompts. Covers Node/TypeScript implementation, input validation, transport choices for local or remote clients, and registration or connection troubleshooting.
Study Model Context Protocol (MCP), which connects AI applications with external tools, through guided lessons and exercises. Inspect requests and responses, practice implementation and security checks, and record progress alongside observed results.
Plan how to add external capabilities to an AI agent using MCP, a connection protocol, or Skill Hub distribution. Compare integration methods, design tools and data access, and review context costs, credentials, and third-party security risks.
Connect Claude Code plugins to external services through MCP, a protocol that makes service functions available as tools. Covers connection types, configuration files, authentication, tool permissions, and testing for local servers and hosted services.
Use the command line to discover and run tools on MCP servers, which connect agents to external systems. Inspect required inputs, pass JSON arguments, and retrieve results as JSON or raw text for scripts.
Build MCP Apps that display interactive json-render interfaces inside clients such as Claude and ChatGPT. The skill covers a Node.js server, a React view, and packaging the interface into a single HTML file.
Manage LangBot bots and processing workflows through MCP, a standard for connecting agents to tools. Configure authenticated access, inspect resources, update supported settings, and investigate execution histories, logs, and model request diagnostics.
Build MCP servers, which let AI agents use external APIs and services through tools. The skill guides tool design, authentication, input validation, implementation, testing, and evaluation using TypeScript or Python.
Build MCP servers and clients that connect AI systems to external tools and data. The skill defines validated inputs, implements tool and resource handlers, configures communication methods, and checks protocol behavior with the MCP Inspector.
Build MCP servers, which let AI agents use external APIs and services through tools. The skill guides tool design, authentication, input validation, implementation, testing, and evaluation using TypeScript or Python.
Guides you through connecting external services to Claude Code plugins using MCP, a protocol for exposing services as tools. Covers connection types, configuration files, authentication, tool permissions, and testing.
Guides you through connecting external services to Claude Code plugins using MCP, a protocol for exposing services as tools. Covers connection types, configuration files, authentication, tool permissions, and testing.
Connect a remote Hermes gateway to MCP servers that require OAuth, a browser-based authorization process. The skill covers dashboard access, manual token setup when needed, and diagnosis of expired tokens or revoked sessions.
Check and control OmniRoute’s MCP server, which connects agents to tools. Inspect tool permission scopes, enable or restart the server, and invoke tools with JSON arguments from the command line.
Build MCP servers, which let Claude call external tools and read data through a shared protocol. Follow Python or TypeScript examples to implement tools, connect services, configure Claude, and test server behavior.