12 MCP Servers You Can Use in 2025

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MCP (Model Context Protocol) is an open standard that simplifies how AI models, particularly LLMs, interact with external data sources, tools, and services. An MCP server acts as a bridge between these AI models and external tools. Here are the top MCP servers:

  1. File System MCP Server – Allows the LLM to directly access the local file system to read, write, and create directories.
  2. GitHub MCP Server – Connects AI models to GitHub repos and allows file updates, code searching.
  3. Slack MCP Server – Enables AI models to interact with Slack workspaces via API.
  4. Google Maps MCP Server – Integrates with Google Maps API for location-based queries.
  5. Docker MCP Server – Manages containers, images, volumes, and networks.
  6. Brave MCP Server – Provides web and local search using Brave’s Search API.
  7. PostgreSQL MCP Server – Allows LLMs to inspect database schemas and execute read-only queries.
  8. Google Drive MCP Server – Enables reading and searching over files in Google Drive.
  9. Redis MCP Server – Provides access to Redis databases for caching and data retrieval.
  10. Notion MCP Server – Integrates with Notion API for workspace automation.
  11. Stripe MCP Server – Interacts with the Stripe API for payment processing.
  12. Perplexity MCP Server – Connects to Perplexity’s Sonar API for real-time search.

You Should Know:

1. File System MCP Server Commands

  • List files in a directory:
    ls -la /path/to/directory 
    
  • Read a file:
    cat /path/to/file.txt 
    
  • Write to a file:
    echo "New content" > /path/to/file.txt 
    

2. GitHub MCP Server Automation

  • Clone a repository:
    git clone https://github.com/user/repo.git 
    
  • Push changes:
    git add . 
    git commit -m "Updated via MCP" 
    git push origin main 
    

3. Docker MCP Server Management

  • List running containers:
    docker ps 
    
  • Start a container:
    docker start container_name 
    
  • Remove a container:
    docker rm container_name 
    

4. PostgreSQL MCP Server Queries

  • Connect to PostgreSQL:
    psql -U username -d database_name 
    
  • Execute a query:
    SELECT  FROM table_name LIMIT 10; 
    

5. Redis MCP Server Commands

  • Set a key-value pair:
    redis-cli SET key "value" 
    
  • Retrieve a value:
    redis-cli GET key 
    

What Undercode Say

MCP servers are revolutionizing AI by enabling seamless integration with external tools. The ability to manage Docker containers, query databases, and interact with APIs programmatically enhances automation. Future developments may include self-healing MCP networks where AI models autonomously switch between servers based on latency and reliability.

Expected Output:

A fully automated AI system capable of:

  • Managing cloud infrastructure via Docker.
  • Running SQL queries without manual intervention.
  • Deploying code changes via GitHub automatically.
  • Processing payments through Stripe without human oversight.

Prediction:

By 2026, MCP servers will evolve into AI Orchestration Hubs, where multiple AI agents collaborate dynamically, reducing human intervention in DevOps and IT operations.

For further reading, check the original ByteByteGo newsletter.

References:

Reported By: Alexxubyte Systemdesign – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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