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。15023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。
Enhances GitLab servers with merge request review comment posting functionality.
Provides a Model Context Protocol server specifically designed for interacting with KubeVirt.
Retrieves the country of a device using the Cloudflare Country header.
Provides a Model Control Protocol (MCP) server implementation for real-time speech-to-text transcription using the ElevenLabs Scribe API.
Enables querying Brazilian postal codes (CEPs) using the ViaCEP API.
Extends Cursor IDE functionality with tools for interacting with large language models, including file processing and web content retrieval.
Connects large language models (LLMs) and tools through an OpenAI-compatible API.
Aids in optimizing requirement engineering workflows by leveraging AI-driven insights and innovative coding methodologies.
Manage Kubernetes clusters and automate operations using AI-powered natural language interfaces.
Provides AI assistants and applications with robust access to Bible passages from various translations via a Model Context Protocol server.
Empowers AI coding agents to control and inspect a live Chrome browser, granting full access to Chrome DevTools for comprehensive web automation, debugging, and performance analysis.
Enables AI assistants to interact with Anki decks for enhanced studying, card creation, and progress analysis.
Executes TypeScript code in a secure sandbox environment, enabling calls to other MCP servers through an IPC bridge.
Captures TradingView chart snapshots efficiently using a lightweight server and Playwright for secure browser automation.
Manages a technical glossary within an Obsidian vault, allowing programmatic interaction via an MCP server.
Provides a universal camera interface and vision tools for AI assistants, enabling them to capture and process images.
Enhances Figma Context by implementing persistent disk caching to reduce API rate limits and improve performance.
Exposes a static library of Claude Code Skills to dynamic AI agents via the Model Context Protocol.
Provides a persistent knowledge base for AI coding agents to store, search, and manage reusable information.
Generate various types of diagrams from text descriptions and export them in multiple formats.
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