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Provides advanced property-based fuzzing and testing capabilities for Model Context Protocol servers, enabling automated discovery of edge cases and bugs in Python functions.
Provides the current time for a specified location using the WorldTime API and TimezoneDB.
Accelerates the development of custom AI assistant tools, resources, and prompt templates.
Orchestrates multiple AI models with dynamic routing, cross-checking, and cost optimization, leveraging a stateless architecture for efficient context management.
Empower Claude AI to manage Naver Cloud Platform infrastructure interactively using natural language commands.
Facilitates sending emails securely through Gmail using a Model Context Protocol server.
Integrate with the Steam Web API to access game libraries, achievements, playtime statistics, and other player data.
Facilitates interaction with a mock blog API service for fetching, searching, and adding blog posts.
Enables AI assistants and developers to fetch, explore, and analyze source code from any Python package on PyPI.
Emulate an LLM agent capable of autonomously utilizing tools acquired from an MCP server.
Enables secure filesystem access for AI models through the Model Context Protocol, restricting operations to predefined directories.
Provides a production-ready Model Context Protocol (MCP) server for SEI blockchain and DragonSwap V2 DEX operations.
Enables AI agents to securely query Azure DevOps data like work items, projects, and ticket statistics via a custom Model Context Protocol (MCP) server.
Manages RAG-enabled memory with a PostgreSQL/Supabase backend, providing knowledge graph, document management, and semantic search capabilities for AI applications.
Enables AI agents to programmatically control VSCode's debugger.
Provides a simple example for building an MCP server using FastMCP and Python, designed for use with Smithery.
Exposes Model Context Protocol tools for interacting with local Ollama models.
Provides a secure, read-only server for filesystem scanning, searching, and analysis with comprehensive security validation.
Integrates the Figma API to provide both a RESTful interface and an MCP server, enabling seamless design data access and automated code generation for AI assistants.
Provides a tutorial app for Model Context Protocol (MCP) in Python, demonstrating core MCP concepts with a simple local database.
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