developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 11740개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Converts PDF files to text, enabling seamless integration with Cursor IDE and other MCP-compatible applications for enhanced AI analysis.
Integrates with HashiCorp Vault to manage secrets and data via a Streamable HTTP API using the Model Context Protocol.
Enables AI-powered applications to interact with and analyze browser data through a Chrome extension.
Facilitates interactive chat with AI models, integrating document retrieval, command-based prompts, and extensible tools via the Model Context Protocol.
Facilitates the creation of Model Context Protocol (MCP) clients and servers in Python, enabling standardized context provision for Large Language Models (LLMs).
Integrates the GitLab API, enabling LLMs to manage repositories, merge requests, and issues.
Calculates detailed subnet information and provides network planning advice.
Integrates LLM orchestrators with MQTT brokers to enable agent-driven interaction with IoT devices and MQTT-based systems.
Provides contextual information to AI models by intelligently routing queries to diverse data sources.
Facilitates secure and controlled interaction between AI models and various data sources or tools via the Model Context Protocol.
Connects an LLM (Large Language Model) like Claude to Jira, enabling natural language interaction for task and project management.
Enables AI assistants to intelligently discover and control ZigBee devices connected via ZigBee2MQTT.
Provides a minimal FastMCP server template for Render deployment with streamable HTTP transport.
Provides current and accurate commands for Python package managers by cross-referencing the latest official documentation.
Provides a remote endpoint for validating MCP server interactions.
Provides an unofficial MCP server for the Radio-T website API, enabling programmatic access to its content.
Provides real-time access to the latest notices from Myongji University's official website for AI agents.
Automate and manage Notion workspaces with a comprehensive set of API tools for AI workflow integration.
Enables LLMs to access real-time AWS news, announcements, and blog posts through the Model Context Protocol.
Integrates with GitLab and Jira to expose project, merge request, and issue data to MCP-enabled clients.
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