MCP Servers Agent Skills

Design and ship production-ready MCP servers from OpenAPI contracts instead of hand-written tool wrappers. Supports Python and TypeScript, schema validation, and safe evolution.

Guides usage of the Gemini API on Agent Platform with the Google Gen AI SDK, covering SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.

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.

Create, deploy, and debug machine learning applications on Hugging Face Spaces using Gradio, Docker, or Static SDKs, with support for ZeroGPU and dedicated hardware.

Integrate with Azure AI services including Search, Speech, OpenAI, and Document Intelligence for search, transcription, OCR, and text-to-speech tasks.

Build AI applications on Microsoft Foundry using the Azure AI Projects Python SDK, including agent creation, tool integration, thread management, and evaluation.

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.

Installs, deploys, runs, validates, troubleshoots, and stops NVIDIA AI-Q Blueprint infrastructure for local or self-hosted servers.

Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes for model serving with GPU support.

Start or patch Dynamo router modes and run router endpoint smoke checks for round-robin, KV-aware, least-loaded, or device-aware routing.

Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.

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.

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.

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

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

Guides users through an interactive tour of the context-matic MCP server, explaining its purpose and demonstrating all available APIs with live tool calls.

Generate a complete PHP Model Context Protocol server project with tools, resources, prompts, and tests using the official PHP SDK.

Generate a complete, production-ready Model Context Protocol server project in Java using the official MCP Java SDK with Maven or Gradle.

Generate a complete Rust Model Context Protocol server project with tools, prompts, resources, and tests using the official rmcp SDK.

Generate a complete, production-ready Model Context Protocol server project in Swift using the official MCP Swift SDK.

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

Generate a complete, production-ready MCP server project in TypeScript with tools, resources, and proper configuration.

Assigns behavioral trust grades (A–F) to MCP servers by running probes for prompt injection, permission overreach, data leaks, and adversarial-input handling, and publishes reproducible onchain attestations.

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.

Automate Exa search and data retrieval operations through Composio's Exa toolkit via Rube MCP, with dynamic tool discovery and connection management.

Automate Veo operations through Composio's Veo toolkit via Rube MCP, with tool discovery and connection management.

Automate Mem0 memory operations through Composio's Mem0 toolkit via Rube MCP, with dynamic tool discovery and connection management.

Automate Gemini AI operations through Composio's Gemini toolkit via Rube MCP, with tool discovery and connection management.

Automate Tavily search operations through Composio's toolkit via Rube MCP, with tool discovery and connection management.

Automate Tisane operations through Composio's Tisane toolkit via Rube MCP, with tool discovery and connection management.

Automates Adyntel operations through Composio's toolkit via Rube MCP, with tool discovery and connection management.

Automate document processing tasks using Docsumo via Composio's Rube MCP integration.

Automate Modelry operations through Composio's Modelry toolkit via Rube MCP, with tool discovery and connection management.

Automate Parsera web scraping tasks through Composio's Parsera toolkit via Rube MCP, with dynamic tool discovery and connection management.

Automate OCR operations using the Ocrspace toolkit via Rube MCP, with tool discovery and connection management.