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。18204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。
Executes Python code within ephemeral Daytona sandboxes, facilitating tasks such as code execution, file manipulation, and web server previewing.
Enables LLMs to query Supabase databases and understand their structure through a Model Context Protocol.
Connects to multiple LLM providers and extends their capabilities with tools using the Model Context Protocol (MCP).
Provides Model Context Protocol (MCP) servers based on the MCP Template for accessing documentation.
Manages model context protocol servers through a simple GUI for easy toggling.
Provides test results context to AI agents by connecting them to Currents.
Runs and documents systems models defined using the lethain:systems Python library.
Tests backend APIs for security vulnerabilities using a Model Context Protocol (MCP) server.
Provides access to remote job listings and company information sourced from Himalayas.app.
Enables AI assistants to programmatically access VS Code's language intelligence, debugging, and code execution capabilities through the Model Context Protocol.
Automates interactions with the Aptos Build platform for managing API keys and other build-related actions.
Automates the analysis of codebases to generate comprehensive documentation and identify areas for improvement.
Orchestrates a comprehensive spec-driven development workflow, integrating requirements, design, implementation, and validation within an MCP client.
Enables AI assistants with seamless, intelligent access to SAP Datasphere APIs for comprehensive data exploration and management.
Empowers AI models to perform comprehensive MySQL database operations through a standardized Model Context Protocol interface.
Integrates Google's Gemini AI models with Model Context Protocol (MCP) clients, enabling advanced AI capabilities for applications like Claude Desktop.
Extends AI assistant memory by leveraging Gemini's context caching to load and query large codebases, documentation, and PDFs.
Facilitates multi-LLM deliberation where multiple LLMs collaboratively answer questions through peer review and synthesis.
Manages tasks, answers questions, and automates workflows as an open-source AI agent with an integrated app builder and multi-provider chat.
Empower AI agents to accumulate experience, share their capabilities with others, and leverage specialized expertise from a global network of agents.
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