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List of Top MCP Servers for March 2, 2026

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

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#1
Context+ icon

Context+

1,093

Transforms large codebases into a searchable, hierarchical feature graph by combining AST parsing, spectral clustering, and Obsidian-style linking.

Developer Tools
#2
DotBot icon

DotBot

19

Integrates with editors via ACP and extends tool capabilities through MCP, offering a lightweight .NET AI assistant with pluggable skills and commands across diverse runtime environments.

Developer Tools
#3
CStrike icon

CStrike

18

Orchestrates autonomous offensive security operations through an AI-driven Docker stack featuring a real-time web dashboard and over 35 integrated tools.

Deployment & DevOps
#4
Brain icon

Brain

17

Provides persistent memory and cognitive context for AI, enabling rapid recall of complex mental states and decisions.

Learning & Documentation
#5
WAIaaS icon

WAIaaS

12

Empowers AI agents to perform secure, owner-controlled on-chain transactions across multiple blockchains.

API Development
#6
Cube icon

Cube

Integrates Cube's AI agent to provide chat functionality for real-time analytics and data exploration.

Data Science & ML
#7
Word Live icon

Word Live

Empowers AI assistants to perform live, granular edits on Microsoft Word documents, including tracked changes, comments, and per-action undo while files remain open.

Data Science & ML
#8
Socraticode icon

Socraticode

Indexes local codebases for hybrid semantic search, polyglot code dependency graphs, and searchable context artifacts, offering zero-config, private, and Docker-powered AI code intelligence.

Deployment & DevOps
#9
Fava Trails icon

Fava Trails

Establishes a versioned, auditable memory system for AI agents, leveraging a Version Control System (VCS) through the Model Context Protocol (MCP).

Developer Tools
#10
Tengu icon

Tengu

Orchestrates 56 industry-standard security tools with AI assistance to streamline penetration testing from reconnaissance to reporting.

Data Science & ML

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