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  3. February 20, 2026

List of Top MCP Servers for February 20, 2026

Daily list of newly discovered awesome MCP servers. Explore the best Model Context Protocol servers ranked by GitHub stars.

Also explore:Top 100 Leaderboard•Browse by Category•Search MCP Servers
#1
Airweave icon

Airweave

5,759

Connects to diverse data sources to provide a unified context retrieval layer for AI agents and RAG systems.

Data Science & ML
#2
Excalidraw icon

Excalidraw

2,605

Stream hand-drawn diagrams with smooth camera control and interactive editing within Model Context Protocol (MCP) compatible clients.

Collaboration Tools
#3
ToolUniverse icon

ToolUniverse

1,003

Democratizes AI scientists by providing an ecosystem for creating powerful research partners from any large language model.

API Development
#4
CLEO icon

CLEO

107

Orchestrates production-grade task management for AI coding agents and solo developers, ensuring anti-hallucination protection and persistent, structured memory.

Productivity & Workflow
#5
Daymon icon

Daymon

266

Automate and enhance your AI agent's capabilities with scheduled tasks, persistent memory, and background processes running locally.

Productivity & Workflow
#6
RagScore icon

RagScore

28

Generate high-quality QA datasets from documents and evaluate Retrieval-Augmented Generation (RAG) systems with speed and privacy across various environments.

Data Science & ML
#7
Herald icon

Herald

24

Bridges Claude Chat and Claude Code, enabling remote AI-assisted code development and orchestration on a self-hosted workstation.

Developer Tools
#8
Wemo Ops Center icon

Wemo Ops Center

24

Locally manage, provision, and automate Belkin Wemo smart home devices without relying on cloud services.

Productivity & Workflow
#9
CamoFox icon

CamoFox

23

Empower AI agents to navigate, interact with, and automate the web seamlessly without encountering bot detection.

Browser Automation
#10
Agrobr icon

Agrobr

18

Connects large language models to real-time Brazilian agricultural data from 10 public sources.

Data Science & ML

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