Developer Tools MCPサーバー
developer tools向けの厳選されたMCPサーバーコレクションをご覧ください。5618個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Openapi
Enables AI tools like Claude and Cursor to understand and interact with OpenAPI specifications using simplified language.
MCP Scan
Scans Model Context Protocol (MCP) servers for common security vulnerabilities like prompt injections and tool poisoning.
Browser Use
Automates browser interactions through natural language commands using the Model Context Protocol (MCP).
Protolint
Enforces Protocol Buffer style and conventions through linting and automated fixes.
Qdrant
Connects language models to a Qdrant vector database for storing and retrieving information.
Marketplace
Facilitates the discovery and installation of MCP servers built for use with Cline.
Hyper
Extends the capabilities of Model Context Protocol (MCP) applications with WebAssembly plugins.
Npcpy
Facilitates the integration of AI models into daily workflows through agent-based frameworks and command-line tools.
Context7
Fetches up-to-date documentation and code examples for libraries directly into LLM prompts.
Mcp Framework
Provides a framework to build Model Context Protocol servers in TypeScript.
Npcpy
Provides an agent-based framework with command-line tools for integrating AI models into daily workflows.
Deebo
Automates debugging for AI coding agents by running parallel investigations and validating fixes.
Atproto
Provides a Python SDK for interacting with the AT Protocol (Bluesky).
Dbhub
Provides a universal database gateway implementing the Model Context Protocol (MCP) server interface.
Unity Integration
Enables AI assistants to interact with the Unity Editor for game development workflows.
Heurist Agent Framework
Provides a modular framework for building AI agents capable of interacting across multiple platforms and accessing external tools.
Azure
Connects AI agents with Azure services, enabling exploration, querying, and management of Azure resources.
Spring AI Examples
Provides example applications demonstrating the use of the Spring AI project.
MySQL
Enables secure interaction with MySQL databases through a Model Context Protocol (MCP) server.
Kubectl
Enables AI assistants to interact with Kubernetes clusters through natural language via the Model Context Protocol (MCP).
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