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Analyzes Python code for structure, complexity, and dependencies using a Model Context Protocol server.
Generates images from text descriptions using OpenAI's DALL-E API, demonstrating how to build MCP tools for Large Language Models.
Scans and analyzes web content, extracting information from web pages.
Compresses, decompresses, and retrieves metadata from local ZIP files via the Model Context Protocol (MCP).
Provides a streamlined foundation for building Model Context Protocol (MCP) servers in Python, enabling AI-assisted development of MCP tools.
Provides seamless access to any GraphQL API through Claude AI using a strongly-typed Model Context Protocol (MCP) server.
Provides file backup and restoration capabilities for AI agents and code editing tools.
Enables sending text and markdown messages to DingTalk groups via a custom robot.
Enables dynamic tool registration and execution based on API definitions, integrating with services like Claude.ai and Cursor.ai.
Provides backend server functionalities.
Facilitates the creation of presentations using the Slidespeak API.
A curated list for discovering and exploring Model Context Protocol (MCP) server implementations and related tools.
Connect APIs to Large Language Models (LLMs) through the Model Context Protocol (MCP).
Empowers LLMs with location-based services and geospatial data via the Model Context Protocol.
Enables robotic control via a Model Context Protocol (MCP) server, facilitating automation tasks.
Enables single-cell RNA sequencing analysis using natural language commands.
Enables sending MIDI sequences to any software supporting MIDI input.
Converts OpenAPI specifications into MCP tools.
Finds and recommends restaurants with AI-powered filtering for cuisine, mood, and event type, integrating with Google Maps to provide booking assistance.
Provides a Model Context Protocol (MCP) server for accessing and searching content stored in ZIM files.
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