developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 20631개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enhances a Model Context Protocol server with WebSocket functionality for real-time data updates.
Delegate tasks to other LLMs by calling another MCP client from your MCP client.
Enables Large Language Models to interact with JIRA through standardized tools and context.
Provides programmatic control over custom operational mode configuration and management.
Provides Ethereum blockchain data tools via the Etherscan API.
Integrates Ollama with Model Context Protocol (MCP) servers, allowing AI models to interact with various tools through a unified interface.
Injects environment variables into Cursor MCP server definitions.
Enables AI assistants to break down user requests into manageable tasks with subtasks, dependencies, and notes.
Demonstrates an MCP server and client implementation, showcasing how to expose a dummy API to an AI chatbot.
Provides a desktop client for interacting with Claude AI and other compatible models, featuring Model Context Protocol (MCP) server support.
Generates architectural diagrams from text descriptions or GitHub repositories using Mermaid syntax.
Ensures AI-generated code matches specifications by creating specs, validating output, and suggesting fixes.
Executes advanced logic primitives and cognitive operations, leveraging the Model Context Protocol (MCP).
Provides a robust template for developing and deploying Model Context Protocol (MCP) servers using Deno.
Enables AI tools to interact with Rust code idiomatically through rust-analyzer's Language Server Protocol capabilities.
Provides comprehensive AWS cost analysis and optimization recommendations based on proven best practices.
Provides AI models with persistent tool context, ensuring consistency across chat sessions and eliminating the need to re-establish context.
Facilitates comprehensive security testing and bug bounty hunting through natural language interaction with large language models.
Compresses web page HTML into a structured, actionable map, enabling AI agents to efficiently read and interact with web content at significantly reduced token counts.
Provides persistent memory and advanced context management capabilities for AI agents.
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