developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 12991개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides OpenSCAD rendering capabilities through a standardized Model Context Protocol interface.
Integrates with the Keitaro TDS API to provide tools for managing campaigns, streams, offers, and other entities.
Manages and configures MCP servers using a JSON configuration file.
Automates comprehensive SAP GUI interactions, providing 22 specialized tools for enhanced workflow integration.
Analyzes website performance, accessibility, and SEO using Google Lighthouse, offering actionable recommendations and AI-powered insights.
Integrates with Odos DEX aggregation and Zerion portfolio analytics to provide comprehensive DeFi trading data, swap quotes, portfolio analysis, and transaction history across multiple blockchain networks.
Provides a Node.js server to fetch current time and official workdays, holidays, and makeup workdays for specific years and months, integrating multiple data sources.
Provides a summary page and search capabilities using Google and Bing.
Automates the React Native Upgrade Helper website to extract comprehensive upgrade information between React Native versions.
Provides a local Model Context Protocol (MCP) server, enabling context-aware interactions.
Enables natural language interaction with Cloud Foundry foundations by leveraging Spring AI.
Connects AI models to real-time information about SpringOne conference sessions and speakers using the Model Context Protocol (MCP).
Streamlines resume creation and analysis by integrating with the NovaCV API for PDF generation, format conversion, and content analysis.
Provides a versatile MCP server offering practical tools for ML engineering workflows, including local and remote code execution, file management, remote GPU integration, and an LLM proxy.
Provides a server interface for integrating Git conflict resolution assistance with various development tools.
Enables Claude and other LLMs to interact with Setu's APIs by providing Model Context Protocol (MCP) servers.
Aggregates tools from multiple MCP servers into a vector database, enabling Large Language Models to efficiently search and utilize a collective set of capabilities.
Enables database interaction through MySQL, supporting SQL queries, table creation, and schema exploration.
Manages and semantically searches a personal library of AI prompts using RAG-powered semantic search, accessible via the Model Context Protocol.
Enables Large Language Models to interact with Didlogic services through a standardized Model Context Protocol interface.
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