Top MCP Servers You Should Try in 2026
The Model Context Protocol ecosystem has exploded. There are now over 1,400 MCP servers available — and most developers have tried maybe two or three.
We curate the AiList directory and spend a lot of time looking at what’s out there. Here are 12 MCP servers worth installing, organized by what they do.
Developer Tools
GitHub MCP Server
27,000+ stars — GitHub’s official MCP implementation. Lets your Ai assistant create issues, review PRs, search repos, manage branches, and interact with GitHub Actions — all from within your coding session. If you use GitHub daily, this is a must-have.
npx @github/mcp-server
Chrome DevTools MCP
26,400+ stars — Gives your Ai agent access to Chrome DevTools. It can inspect elements, read console logs, capture screenshots, and debug web apps in real time. Game-changer for frontend development with Ai.
Serena
20,500+ stars — A coding toolkit that provides semantic code retrieval and editing via MCP. Instead of your Ai reading files line by line, Serena gives it structured understanding of your codebase — classes, functions, dependencies, and their relationships.
Workflow Automation
Activepieces
20,900+ stars — Connect any MCP client to a hosted automation server. Build workflows that trigger from Ai conversations — send emails, update databases, post to Slack, and hundreds of other integrations. Think Zapier, but Ai-native.
n8n MCP
13,800+ stars — Brings n8n’s powerful workflow engine to Claude Desktop and other MCP clients. Build and trigger complex multi-step automations through natural language.
Trigger.dev
13,800+ stars — Build and deploy fully managed Ai agents and workflows. Handles scheduling, retries, and infrastructure so you can focus on the logic. Great for production Ai pipelines.
Research & Analysis
TrendRadar
46,900+ stars — Multi-platform trend monitoring with RSS aggregation and Ai analysis. Feed it your industry sources and it surfaces what matters. Useful for staying on top of fast-moving fields.
GPT Researcher
25,300+ stars — An autonomous research agent that conducts deep research on any topic. Give it a question, and it plans the research, searches multiple sources, synthesizes findings, and produces a report. Works with any LLM provider.
Creative Tools
Blender MCP
17,200+ stars — Natural language control of Blender for 3D scene creation, manipulation, and rendering. Describe what you want in plain English, and Blender builds it. One of the most impressive demonstrations of what MCP can do beyond coding.
UI-TARS Desktop
28,100+ stars — ByteDance’s open-source multimodal Ai agent stack. Connects cutting-edge vision and language models for tasks that require seeing and interacting with screen content.
Learning & Frameworks
MCP for Beginners
14,400+ stars — Microsoft’s multi-language MCP curriculum. Covers building MCP servers in .NET, Java, TypeScript, Rust, and Python. If you want to build your own server, start here.
FastAPI MCP
11,500+ stars — Expose any FastAPI endpoint as an MCP tool with minimal code. If you already have a FastAPI backend, this is the fastest way to make it Ai-accessible. Includes auth support out of the box.
Honorable Mention: Memory
CogmemAi
Persistent memory for Claude Code. Saves architecture decisions, preferences, bug fixes, and project context across sessions. Your Ai remembers what you taught it yesterday — even after context compaction. Free tier available.
npx cogmemai-mcp
Finding More
These 12 are just the start. The MCP ecosystem has over 1,400 projects across servers, APIs, agents, CLI tools, and more. New ones ship daily.
Browse the full directory: AiList — 1,400+ Ai Projects
You can also install the AiList MCP server and search the directory directly from Claude Code:
npx ailist-mcp
