Discover our curated collection of MCP servers for developer tools. Browse 18418 servers and find the perfect MCPs for your needs.
Provides a server for accessing various tools such as weather and DNF gold price information.
Provides an MCP server built on top of Nasdanika AI and CLI capabilities.
Provides a starting point for MCP server tools.
Enables external tools and AI agents to access and utilize UniquityReporter's analysis functions via the Model Context Protocol (MCP).
Enables AI assistants to control a browser through a set of tools for web automation tasks.
Provides a development environment for the Claude MCP Server, featuring isolated ports and configurations.
Enables local middleware for seamless communication between LLM-based tools on Windows OS.
Enables AI assistants to query and retrieve information about Azure resources across subscriptions using Azure Resource Graph.
Offers a comprehensive, hands-on learning path for Model Context Protocol (MCP) development, guiding users from beginner to advanced concepts.
Manages Kanban-style tasks, providing analytics and an MCP-compliant server interface.
Provides a Model Context Protocol (MCP) server equipped with a versatile file search utility.
Leverages agentic RAG and the Model Context Protocol to dynamically source optimal context for accurate answers to complex queries.
Provides a Model Context Protocol server for integrating the Claude Code CLI with interactive IDE features.
Automates credit risk assessment and decision-making through an AI-driven multi-agent system, providing transparent and explainable financial solutions.
Accesses real-time Belgian railway data through the iRail API via a Model Context Protocol server.
Manages a temporal knowledge graph memory system for AI agents, integrating via the Model Context Protocol.
Orchestrates multi-wallet coordinated trading strategies and asset management on the Base mainnet.
Routes AI requests across multiple providers with intelligent routing, offering OpenAI-compatible APIs and a comprehensive web dashboard.
Provides local database inspection and API testing servers to empower AI for debugging and verification within Cursor.
Enables AI agents to autonomously organize and manage their long-term memory using plain markdown files, eliminating the need for embeddings or vector databases.
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