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。20521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。
Enables Large Language Models to interact with Kafka event streams using the Model Context Protocol.
Manages and interacts with GitHub repositories through the Model Context Protocol.
Simulates a travel desk system for managing employee travel requests directly within Claude.
Orchestrates a multi-agent workflow for deep research and code generation using Gradio's Model Context Protocol (MCP) server.
Transforms legacy database schemas into an AI-ready asset by mediating between modern AI agents and cryptic legacy data.
Transforms command-line and web tools into asynchronous, concurrent Model Context Protocol (MCP) AI agents, enabling faster, multi-threaded AI workflows.
Enables the deployment and integration of Model Context Protocol (MCP) servers with Microsoft Copilot Studio, providing AI models with standardized access to contextual data and tools.
Provides example configurations for running local MCP servers tailored for HashiCorp Terraform and Vault.
Aggregates and delivers real-time news feeds from major Singapore news sources.
Provides AI assistants with access to official W3C, WHATWG, and IETF web standards data including specifications, WebIDL definitions, CSS properties, and HTML elements.
Enables lossless context restoration and session management for Large Language Models by persisting KV cache tensors.
Enables AI agents to securely query Northscore's sports data using the Model Context Protocol.
Empower AI agents to trade over 275 perpetual futures markets, including stocks, crypto, commodities, and forex, with real execution on Hyperliquid.
Automate background tasks, manage a skill engine, schedule operations, and integrate with Claude Code.
Connects large language models to clinical FHIR R4 data with robust governance, CDS Hooks, and multi-persona outputs.
Indexes codebases with Tree-sitter AST to provide AI agents with a structured, searchable map, reducing token usage and improving code generation.
Generates and refactors code to adhere to Data, Context, and Interaction (DCI) architecture principles using language-specific rules and large language models.
Evaluates typography for accessibility and design quality issues beyond standard automated scanners, providing detailed reports via an MCP server.
Empowers AI assistants to analyze websites for SEO, accessibility, security, and performance issues without any configuration.
Integrates with the OpenAlex API to provide structured access to scholarly works, authors, and institutions.
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