developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 11770개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Automate and streamline the editing and modification of Excel files through command-based processing.
Integrates Jira with Cursor IDE via the Model Context Protocol (MCP) for seamless AI-powered interaction.
Enables seamless upload, download, and management of files in Amazon S3 buckets, optimized for AI workflows and Model Context Protocol clients.
Scans AI-related dotfiles and configuration files within a project and exposes them to AI agents.
Provides a basic server to assist large language models.
Facilitates interaction with the GitHub API using the Model Context Protocol.
Demonstrates implementation and utilities for the Model Context Protocol, including version management, testing, and Docker packaging.
Demonstrates how to build and use different types of Model Context Protocol (MCP) servers, including database search, GitHub search, and time services.
Transforms Swagger 2.0 API specifications into Model Context Protocol (MCP) tools, enabling AI assistants to directly invoke REST APIs.
Integrates Tavily API for web search capabilities within an MCP server environment.
Provides a boilerplate for quickly developing Model Context Protocol (MCP) servers using the TypeScript SDK.
Offers a comprehensive suite of Model Context Protocol (MCP) modules for AI assistants, enabling system operations, Google services integration, and advanced text processing.
Categorizes various tools based on their functionality within the MCP Server ecosystem.
Enables AI assistants to manage infrastructure, applications, databases, services, and more through a self-hosted Coolify PaaS platform.
Provides an MCP server for integrating with the Nikola TEST API.
Enables Claude AI assistant to interact with and manage GitHub repositories.
Automates connection to Android devices over WiFi and enables screenshot capture using ADB tools.
Provides essential AI security guardrails, integrating with Javelin's platform to protect AI applications against various threats.
Provides persistent memory and intelligent guidance for MCP development projects.
Integrates Datadog APIs into a Model Context Protocol host, enabling AI models to interact with Datadog services.
Scroll for more results...