Discover our curated collection of MCP servers for developer tools. Browse 20484 servers and find the perfect MCPs for your needs.
Automates web browser interactions on Linux environments using Puppeteer.
Provides time-related capabilities to LLMs, enabling access to current time information and timezone conversions.
Create AI agents, RAG systems, and full-stack applications using natural language with this documentation-aware AI agent.
Provides comprehensive text transformation and formatting tools directly within AI assistant workflows.
Enables AI models to securely interact with Windows command-line functionality.
Enables LLM applications to seamlessly access and utilize Milvus vector database functionality via the Model Context Protocol.
Unifies access to multiple mcpservers through a single all-in-one entrance.
Extends AI assistant capabilities with example Model Context Protocol (MCP) servers written in Rust.
Provides a server for managing secrets used in conjunction with large language models and related tools.
Sends automated notifications to Discord channels, primarily in response to events from AI agents like Claude Code.
Integrates BusinessMap (Kanbanize) with the Model Context Protocol, providing comprehensive access to its project management features including boards, cards, workflows, and users.
Connects App Store Connect data to AI assistants for real-time iOS app metric analysis.
Provides comprehensive tools to search and retrieve Magento 2 GraphQL API documentation and code examples from local markdown files.
Integrates large language models (LLMs) with network devices to enable AI-driven configuration, diagnosis, and management tasks via a standardized Model Context Protocol (MCP).
Enables LLM agents to securely access remote servers via SSH with read-only shell capabilities.
Transforms all Obsidian CLI commands into a local HTTP API and MCP server, enabling programmatic control of your vault.
Provides AI agents with deterministic calendar capabilities including atomic booking, conflict prevention, and precise temporal reasoning.
Enables AI agents to perform real quantitative financial analysis for enhanced trading strategies, including stock screening, backtesting, and factor analysis.
Unifies, debugs, and secures AI agent cognitive state across diverse frameworks, ensuring seamless memory portability.
Integrates the WeChat Developer Tools CLI into an MCP service, enabling AI agents within editors to manage mini-program development, testing, debugging, and automation workflows.
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