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。20552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。
Provides an MCP server implementation for utilizing Mistral's Codestral API to offer code completion, bug fixing, and test generation.
Access Magic: The Gathering card data, rules, and set information through an MCP server.
Provides filesystem operations for Claude AI through a Model Context Protocol (MCP) server.
Provides a TypeScript-based server that integrates with Cursor IDE for code review and analysis.
Generates images from text prompts using fal.ai and integrates with AI IDEs.
Implements an MCP server for the SonarQube Cloud API using Golang.
Connects AI development tools to CodeRide, an AI-native task management system, enabling project understanding, task automation, and collaboration.
Connect AI models to external data and services via a scalable Model Context Protocol server.
Integrates large language model applications with MCreator to automate Minecraft mod development tasks, including workspace management and element manipulation.
Reports authentication information about the current request by decoding the JWT from the Authorization header.
Provides an MCP server to integrate with the NOSIBLE search API.
Transcribes audio files and live microphone input into text using advanced AI models.
Connects internal AI platforms, accessible via webhooks, to OpenWebUI and other Model Context Protocol (MCP) clients.
Provides comprehensive EVM blockchain intelligence through 26 specialized tools across 7 major chains for both direct terminal use and AI agent integration.
Connects AI assistants to your Confluence instance, enabling real-time search and retrieval of pages.
Enables time-travel debugging for Model Context Protocol (MCP) agents by recording, replaying, and interactively stepping through tool calls.
Manages MailDev Docker containers and allows inspection of received emails from AI-powered editors or MCP clients for local development and test automation.
Routes shell commands through a token-optimizing engine to drastically reduce LLM context window usage for any MCP-compatible client.
Equips AI agents with real-time, deterministic associative memory using Modern Hopfield Networks, eliminating the need for LLM calls or databases.
Orchestrates autonomous coding agents through a spec-driven development platform, managing their lifecycle from idea to audited execution.
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