developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 20598개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Integrates with Anki to allow managing decks, note models, and notes via the Model Context Protocol.
Enables voice interaction with modern audio visualization for the Goose platform.
Enhances Payload CMS development by providing code validation, template generation, and project scaffolding.
Provides LLMs with efficient access to package documentation across multiple programming languages.
Exposes a Yapi interface description retrieval tool.
Exposes system metrics via the Model Context Protocol (MCP), enabling LLMs to retrieve real-time system information.
Dynamically defines mcp tools at runtime by scraping Swagger UI and extracting the swagger.json file.
Enables AI models to interact with cryptocurrency exchange APIs via the Model Context Protocol (MCP) for automated trading strategies.
Enables AI agents to interact with Alchemy's blockchain APIs for querying data and executing actions.
Provides Go bindings for the txtai API, enabling access to semantic search, LLM orchestration, and language model workflows.
Enables AI agents to intelligently search, retrieve, and analyze biomedical literature from PubMed using the Model Context Protocol.
Connects OpenAI's GPT-5 API to Claude Code environments for advanced AI capabilities.
Provides a standardized interface for large language models to query Shanghai Disneyland ticket prices and availability.
Provides a developer-first framework for building portable, secure, and scalable AI agents.
Provides a Model Context Protocol (MCP) server for Django applications, enabling AI assistants to deeply understand and interact with Django codebases.
Enables AI assistants to control iOS Simulator through an MCP (Model Context Protocol) server.
Orchestrates AI workflows through a well-defined 8-phase control flow and a suite of specialized tools.
Integrates AI assistants with native Apple applications on macOS, enabling control and data access via AppleScript.
Connects AI assistants to 1C:Enterprise configurations, enabling generation of accurate BSL code based on metadata.
Enables seamless, secure, and decentralized peer-to-peer communication for AI agents across diverse networks without central servers or public IPs.
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