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。20026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。
Prepares Hacker News discussions for summarization by language models like Claude.
Provides a basic implementation of the Model Context Protocol (MCP) allowing client-server communication with LLMs.
Provides tools for interacting with the Fluidattacks API.
Provides access to customer and order data from a store API using the Model Context Protocol.
Provides a local and remote MCP server for blog search functionality.
Manage AI prompts with collections, variables, execution history, and import/export capabilities.
Connects Trello boards, lists, and cards to AI-powered editors and assistants via the Model Context Protocol (MCP) for automated management.
Manages Palo Alto firewalls through their REST API, offering tools for system information retrieval, upgrades, content updates, and certificate management.
Provide worldwide weather forecasts, current conditions, and historical data to AI assistants without requiring API keys.
Provides interactive cross-platform pseudo-terminal sessions accessible via REST API and Model Context Protocol.
Empowers AI assistants with deep code analysis capabilities, including AST-based test generation, OWASP-style security audits, and intelligent refactoring suggestions.
Empower developers with an in-editor assistant to instantly generate SBOMs, scan for vulnerabilities, verify license compliance, and receive actionable remediation guidance.
Integrates AI assistants with the Kula recruiting API to manage jobs, applications, candidates, and webhooks.
Enhances AI coding assistants by providing persistent memory and structural code graph analysis for improved understanding and multi-agent coordination.
Integrate Nutanix Prism Central and Prism Element REST endpoints as tools for GitHub Copilot in VS Code.
Enables Claude to discover, search, and interact with A2A protocol-compliant AI agents.
Integrate Arpe.io data tools with AI assistants to build, preview, and execute high-performance data commands.
Optimizes AI coding agent context by understanding codebase structure and delivering relevant code based on current tasks.
Provides a Model Context Protocol (MCP) interface for programmatically interacting with Jenkins CI/CD servers, enabling remote management of jobs and builds.
Empowers AI agents to interact with desktop applications by providing capabilities for visual inspection, window management, input control, UI automation, and OCR.
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