Packs

12 packs

Create MCP Server in TypeScript

Generate a complete MCP server project with tools, resources, and proper configuration.

7 skills · pack

Generate MCP Server in Python

Generate a complete MCP server project in Python with tools, resources, and proper configuration using uv and the MCP SDK.

9 skills · pack

Build agents, MCP servers and tool-using workflows.

34 skills · pack

@mariadb-corporation

MariaDB skills + the native mariadb-shell MCP server.

75 skills · pack

Adobe Analytics

Practitioner skills for Adobe Analytics via the AA MCP server

5 skills · pack

Practitioner skills for Adobe Customer Journey Analytics via the CJA MCP server

6 skills · pack

MCP Security Audit Pipeline

Audit MCP servers for secrets exposure, shell injection, and supply chain risks.

12 skills · pack

Azure Database Management

For .NET developers managing Azure PostgreSQL and MySQL Flexible Server deployments with the Azure SDK.

6 skills · pack

Deploy AI Inference on GKE

Deploy and optimize AI/ML inference workloads on GKE using GPUs, TPUs, and model servers.

3 skills · pack

A comprehensive example plugin demonstrating all Claude Code extension options including commands, agents, skills, hooks, and MCP servers

2 skills · pack

Simulator.Company platform assistant. Exposes the Simulator REST API as an MCP server and provides skills for managing actors, forms, graph structures, and financial accounts.

19 skills · pack

Redpanda Data Skills

Agent Skills for Redpanda's five products — Streaming (Kafka-compatible engine), SQL (Oxla), Connect (incl. CDC connectors), Cloud (Serverless, BYOC, Dedicated), and the Agentic Data Plane — plus the rpk CLI. Grounded in Redpanda source, docs, and APIs.

32 skills · pack

Results for “server”

51 skills

Sets up Claude Code for a project by analyzing the tech stack, installing relevant skills from skills.sh, generating custom skills, and configuring MCP servers.

remote-retrieval-automation

Automates remote retrieval operations using Composio's Remote Retrieval toolkit via Rube MCP, with dynamic tool discovery and connection management.

Runs a local voice MCP server in Rust for text-to-speech and speech-to-text, with build, test, and configuration guidance.

Interact with MCP servers from the command line to discover, inspect, and call tools for external systems like GitHub, filesystems, databases, and APIs.

Configure and optimize .faf files, MCP servers, and bi-directional sync for AI context across multiple platforms, with championship scoring to achieve 85%+ AI-readiness.

mcp-csharp-create

Create MCP servers using the C# SDK and .NET project templates, covering scaffolding, tool/prompt/resource implementation, and transport configuration for stdio and HTTP.

Design tool descriptions, schemas, and response formats that agents can reliably route on, including MCP server design, tool-set consolidation, and naming conventions.

16.9k · bundle

Guides the creation of high-quality MCP servers that enable LLMs to interact with external services through well-designed tools, covering planning, implementation, testing, and evaluation.

Guides the creation of high-quality MCP servers that enable LLMs to interact with external services through well-designed tools, covering planning, implementation, and refinement for Python or Node/TypeScript.

66.9k · bundle

Search models, datasets, Spaces, and papers on Hugging Face Hub, retrieve repository details and documentation, run compute jobs, and use Gradio Spaces as AI tools via MCP server tools.

Build AI agents on Cloudflare Workers using the Agents SDK, covering stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, chat applications, voice agents, and browser automation.

Search models, datasets, Spaces, and papers on the Hugging Face Hub, retrieve repository details and documentation, run compute jobs, and use Gradio Spaces as AI tools via the Hugging Face MCP server.

agent-framework-azure-ai-py

Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK, with support for function tools, hosted tools, MCP servers, conversation threads, and streaming responses.

Connects AI assistants to the Hugging Face Hub via MCP server tools to search models, datasets, Spaces, and papers, retrieve repo details and documentation, run compute jobs, and use Gradio Spaces as AI tools.

Connects AI assistants to the Hugging Face Hub via MCP server tools to search models, datasets, Spaces, and papers, retrieve repository details and documentation, run compute jobs, and use Gradio Spaces as AI tools.