developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 12966개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Manages coding preferences efficiently using an MCP server and mem0 for structured storage, retrieval, and semantic search.
Provides a read-only MySQL server implementation, exposing safe database introspection and controlled query execution for Model Context Protocol clients like Claude Desktop.
Automatically evolve and optimize AI prompts to improve performance, creativity, and reliability.
Provides a high-performance, embedded MCP server for semantic code search, integrating keyword and vector-based analysis.
Simulate security vulnerabilities within an MCP (Model Context Protocol) environment for research and testing.
Enables interaction with Neo4j databases directly from the Cursor IDE.
Provide real-time OWASP ASVS security guidance and vulnerability scanning for AI coding agents, ensuring code compliance and proactively addressing security during development.
Provides an LLM-friendly PowerPoint design system with server integration for programmatic presentation generation.
Provides comprehensive Python code analysis for linting and dead code detection via the Model Context Protocol.
Generates data pipeline code for any Airbyte Connector using a single natural language prompt.
Bridges Language Server Protocol (LSP) with Model Context Protocol (MCP) to enhance codebase interaction for large language models.
Provides a Model Context Protocol (MCP) server for AI agents to coordinate, share memory, and manage tasks across various IDEs and CLI tools.
Facilitates GitHub operations and agent management within an MCP Server environment.
Provides comprehensive integration tools for InterSystems IRIS, including direct execution, class compilation, and isolated unit testing capabilities.
Integrates AI assistants with GitLab to enable automated code review, comment posting, and merge request management.
Integrates enterprise-grade code analysis into Claude Desktop and other Model Context Protocol clients using SonarLint's standalone SLOOP backend.
Empowers AI assistants to automate project creation, configuration management, and data querying for applications built on Openfort's infrastructure.
Automates AI assistants learning from user corrections to continuously update their configuration and adhere to preferred coding standards.
Enables AI assistants to possess persistent long-term memory and context across conversations and platforms.
Provides a RESTful API and MCP support for automated Baidu AI search, extracting results via a headless browser.
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