This content originally appeared on DEV Community and was authored by its_hayder
The Model Context Protocol (MCP), developed by Anthropic, is an open standard that connects Large Language Models (LLMs) to external tools and data, making AI workflows smarter and more efficient. For developers seeking free MCP servers to enhance their applications, here’s an improved, concise list of top free MCP servers in 2025.
These servers are reliable, open-source, or offer free tiers, perfect for building powerful AI-driven solutions.
Filesystem (Official, GitHub: modelcontextprotocol/servers)
A robust server for secure file operations, supporting read/write actions with fine-grained access controls. Ideal for integrating local file systems with your LLM for tasks like data processing or logging.
Fetch (Official, GitHub: modelcontextprotocol/servers)
Fetches and converts web content into LLM-friendly formats. Perfect for real-time web scraping, data extraction, or pulling articles for analysis, all optimized for AI consumption.
Memory (Official, GitHub: modelcontextprotocol/servers)
A knowledge graph-based persistent memory system that stores and retrieves context across AI sessions. Great for maintaining conversation history or building long-term memory for your LLM.
Weather (Community, GitHub: wong2/awesome-mcp-servers)
Connects to the AccuWeather API’s free tier to deliver real-time weather data. Use it to add location-based weather insights to your AI applications, like travel or event planning tools.
Wassenger (Community, GitHub: wong2/awesome-mcp-servers)
Enables WhatsApp automation via a free-trial tier, allowing your LLM to send messages, manage chats, or create notification systems. Ideal for communication-driven AI workflows.
Calendar (Community, GitHub: wong2/awesome-mcp-servers)
Integrates with calendar APIs (like Google Calendar’s free tier) to manage events, reminders, or schedules. Perfect for building AI assistants that handle time-sensitive tasks.
Search (Community, GitHub: wong2/awesome-mcp-servers)
A lightweight server for querying search engines (e.g., DuckDuckGo’s free API) to fetch real-time information. Great for adding web search capabilities to your LLM without heavy costs.
Pro Tip: Most of these servers are open-source and can be hosted locally via Docker or directly from the MCP Servers Repository on GitHub.
This content originally appeared on DEV Community and was authored by its_hayder