Top Model Context Protocol (MCP) Servers and Their Git Repositories in 2025

Introduction: Why MCP Servers Are Revolutionizing AI in 2025

The Model Context Protocol (MCP) is transforming how AI models like Claude, GitHub Copilot, and Cursor interact with external tools and data, enabling seamless automation and data access. With over 100 MCP servers listed on platforms like mcpservers.org, developers can integrate AI with Git, databases, and more, per GitHub. X posts highlight the excitement, with one developer noting, “MCP servers turn Claude into a coding beast” (@DevBit, Apr 2025). As AI-driven workflows grow, top MCP servers are critical for developers seeking productivity and innovation.

This blog explores the top Model Context Protocol (MCP) servers and their Git repositories, detailing their features, use cases, and setup processes. We’ll include a chart comparing servers, a practical example of building an MCP server with Go (inspired by your Go interest), and insights from sources like modelcontextprotocol.io and DEV Community. Whether you’re automating Git workflows or querying databases, this guide will empower your MCP server setup in 2025.

What Are MCP Servers?

The Basics

MCP servers are secure intermediaries that allow Large Language Models (LLMs) to interact with external resources like file systems, APIs, or databases via a standardized protocol, per modelcontextprotocol.io. Developed by Anthropic and adopted by tools like VS Code, MCP servers provide tools, prompts, and resources for AI agents to perform tasks like code analysis or web scraping.

Why Use Git Repositories?

Open-source Model Context Protocol Git repositories offer:

• Extensibility: Customize servers for specific workflows, e.g., GitHub integration.

• Community Support: Active maintainers ensure compatibility, per GitHub.

• Security: Configurable permissions protect sensitive data.

• Scalability: Run locally or on cloud platforms like AWS, per X post @JavaWales.

Benefits of MCP Servers

• AI Automation: Automate tasks like creating GitHub issues or querying databases, per DEV Community.

• Cross-Platform Integration: Connect AI models to tools like Git, Slack, or Google Drive.

• Developer Productivity: Streamline coding with AI-driven insights, as seen in GitHub’s MCP server.

• Open-Source Ecosystem: Access 100+ servers via mcpservers.org.

Top 5 MCP Servers and Their Git Repositories

Below are five leading MCP servers, their Git repositories, and use cases, drawn from GitHub, mcpservers.org, and Hugging Face.

1. GitHub MCP Server

• Link: github.com/github/github-mcp-server

• Stars: 2.5k+

• Description: Official Go-based server for GitHub API integration, supporting repository management, issues, and pull requests.

• Use Cases:

  • Workflow Automation: Create issues or PRs via Claude in VS Code.

  • Code Analysis: Extract repo data for AI-driven insights.

  • Team Collaboration: Manage GitHub projects with AI assistance.

• Example: An AI agent lists open issues in a repo using the server’s list_issues tool.

• Why It’s Top: Its Go implementation and VS Code support make it robust, per GitHub.

2. Filesystem MCP Server

• Link: github.com/modelcontextprotocol/servers

• Stars: 1.8k+

• Description: TypeScript-based server for secure file operations, with configurable access controls.

• Use Cases:

  • File Management: Read/write files for AI-driven editing.

  • Project Setup: Create project structures via AI prompts.

  • Backup Automation: Schedule file backups with AI.

• Example: Claude creates a Python project folder structure using the server’s create_directory tool.

• Why It’s Top: Its security features and SDK support are ideal for local workflows, per modelcontextprotocol.io.

3. Git MCP Server

• Link: github.com/cyanheads/git-mcp-server

• Stars: 1.2k+

• Description: A TypeScript server for Git operations, enabling AI to manage repositories, branches, and commits.

• Use Cases:

  • Version Control: Automate commits and branch creation.

  • Code Review: Analyze diffs with AI assistance.

  • Repo Insights: Summarize commit history for reports.

• Example: An AI agent stages and commits code changes using the server’s stage_files tool.

• Why It’s Top: Its comprehensive Git tools simplify automation, per mcpservers.org.

4. PostgreSQL MCP Server

• Link: github.com/modelcontextprotocol/servers

• Stars: 1.8k+

• Description: Python-based server for read-only database access with schema inspection.

• Use Cases:

  • Data Analysis: Query databases for AI-driven insights.

  • Report Generation: Summarize sales data with natural language queries.

  • Schema Exploration: Inspect database structures for development.

• Example: Claude queries a customer database to generate a sales report.

• Why It’s Top: Its read-only safety and SQL support are developer-friendly, per modelcontextprotocol.io.

5. Golang Filesystem Server

• Link: github.com/docker/mcp-servers

• Stars: 900+

• Description: Go-based server for secure file system operations, optimized for performance.

• Use Cases:

  • High-Performance Access: Manage large file systems for AI tasks.

  • Cloud Integration: Deploy on Kubernetes for scalable file operations.

  • Security: Restrict access to specific directories.

• Example: An AI agent organizes project files on a cloud server using the move_file tool.

• Why It’s Top: Its Go foundation ensures speed and reliability, per GitHub.

Chart: Comparing MCP Servers

Source: GitHub, mcpservers.org.
Insight: GitHub MCP Server leads for GitHub workflows, while Golang Filesystem excels for performance.

Practical Example: Building a Go-Based MCP Server

Inspired by your interest in Go and Playwright MCP (April 25, 2025), let’s build a simple Go-based MCP server to expose a file creation tool, integrating with Claude or VS Code’s agent mode. This aligns with your technical focus on automation and AI toolchains.

Step 1: Define the Goal

• Objective: Create an MCP server that allows an AI to create text files via a create_file tool.

• Use Case: Automate project file creation (e.g., README.md) with AI prompts.

Step 2: Set Up the Environment

1. Install Go:

   sudo apt install golang
   

2. Create Project:

   mkdir mcp-file-server && cd mcp-file-server
   go mod init mcp-file-server
   

3. Install Dependencies:

   • Use a basic MCP server framework (inspired by GitHub’s MCP server).

   go get github.com/gorilla/mux
   

Step 3: Write the MCP Server

Create main.go:

package main

import (
    "encoding/json"
    "io/ioutil"
    "log"
    "net/http"
    "github.com/gorilla/mux"
)

type ToolRequest struct {
    Tool string `json:"tool"`
    Args struct {
        Filename string `json:"filename"`
        Content  string `json:"content"`
    } `json:"args"`
}

type ToolResponse struct {
    Result string `json:"result"`
    Error  string `json:"error,omitempty"`
}

func createFileHandler(w http.ResponseWriter, r *http.Request) {
    var req ToolRequest
    if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
        respondWithError(w, "Invalid request", http.StatusBadRequest)
        return
    }

    if req.Tool != "create_file" {
        respondWithError(w, "Unknown tool", http.StatusBadRequest)
        return
    }

    err := ioutil.WriteFile(req.Args.Filename, []byte(req.Args.Content), 0644)
    if err != nil {
        respondWithError(w, err.Error(), http.StatusInternalServerError)
        return
    }

    respondWithSuccess(w, "File created successfully")
}

func respondWithSuccess(w http.ResponseWriter, result string) {
    w.Header().Set("Content-Type", "application/json")
    json.NewEncoder(w).Encode(ToolResponse{Result: result})
}

func respondWithError(w http.ResponseWriter, errorMsg string, status int) {
    w.Header().Set("Content-Type", "application/json")
    w.WriteHeader(status)
    json.NewEncoder(w).Encode(ToolResponse{Error: errorMsg})
}

func main() {
    router := mux.NewRouter()
    router.HandleFunc("/mcp", createFileHandler).Methods("POST")
    log.Fatal(http.ListenAndServe(":8080", router))
}

Step 4: Configure for VS Code

1. Create .vscode/mcp.json:

   {
       "mcpServers": {
           "file-server": {
               "command": "go",
               "args": ["run", "main.go"],
               "env": {}
           }
       }
   }
   

2. Enable MCP in VS Code:

   • Ensure VS Code 1.99+ is installed, per code.visualstudio.com.

   • Enable chat.mcp.enabled in settings.

3. Test with Claude:

   • In VS Code’s agent mode, prompt: “Create a README.md with ‘# My Project’.”

   • The server creates README.md in the workspace.

Step 5: Deploy with Docker

1. Create Dockerfile:

   FROM golang:1.20
   WORKDIR /app
   COPY . .
   RUN go mod download
   RUN go build -o mcp-file-server
   EXPOSE 8080
   CMD ["./mcp-file-server"]
   

2. Build and Run:

   docker build -t mcp-file-server .
   docker run -p 8080:8080 mcp-file-server
   

Result: A Go-based MCP server that lets AI agents create files, deployable locally or on Kubernetes (nodding to your Kubernetes interest from April 2, 2025).

Use Cases for MCP Servers

1. GitHub Automation

• Server: GitHub MCP Server.

• Use Case: Automate PR creation or issue tracking.

• Repo: github.com/github/github-mcp-server.

• Example: Claude creates a PR for a new feature branch.

2. File System Management

• Server: Filesystem MCP Server.

• Use Case: Organize project files with AI prompts.

• Repo: github.com/modelcontextprotocol/servers.

• Example: Cursor sets up a React project structure.

3. Database Queries

• Server: PostgreSQL MCP Server.

• Use Case: Generate reports from customer data.

• Repo: github.com/modelcontextprotocol/servers.

• Example: Claude summarizes sales trends from a PostgreSQL database.

4. Git Operations

• Server: Git MCP Server.

• Use Case: Automate commits and branch management.

• Repo: github.com/cyanheads/git-mcp-server.

• Example: Copilot commits code changes via natural language.

5. Cloud File Operations

• Server: Golang Filesystem Server.

• Use Case: Manage files on AWS-hosted servers.

• Repo: github.com/docker/mcp-servers.

• Example: An AI agent reorganizes cloud-stored project assets.

Challenges and Solutions

Setup Complexity

• Challenge: Configuring MCP servers for VS Code or Claude.

• Solution: Use one-click installs from GitHub READMEs, per DEV Community.

Security Concerns

• Challenge: Exposing sensitive data via MCP tools.

• Solution: Leverage configurable permissions, e.g., Filesystem’s access controls, per Hugging Face.

Tool Overload

• Challenge: Managing multiple MCP servers.

• Solution: Use dynamic toolset discovery, as supported by GitHub MCP Server, per GitHub.

Recent Trends in MCP Servers (2025)

• Go-Based Servers: Adoption grows for performance, e.g., GitHub’s Go rewrite, per GitHub.

• Cloud Integration: AWS and Phala Cloud support MCP servers in TEEs, per X post @TheScarletThr.

• Ecosystem Growth: Over 100 servers listed, with new tools for databases and blockchain, per mcpservers.org.

• X Sentiment: Developers praise MCP’s simplicity, with one noting, “MCP server registry updates make setup a breeze” (@DeepCore_io, Apr 2025).

Getting Started: Tips for MCP Server Users

For Beginners

• Start with GitHub MCP Server: Its one-click setup is user-friendly.

• Explore VS Code: Enable MCP in agent mode for quick testing.

• Join Communities: Engage on GitHub Discussions.

For Developers

• Build Custom Servers: Use TypeScript or Python SDKs from modelcontextprotocol.io.

• Integrate with Go: Create high-performance servers, as shown in the example.

• Contribute: Submit PRs to repos like cyanheads/git-mcp-server.

Conclusion: Supercharge AI with MCP Servers in 2025

In 2025, top MCP servers like GitHub MCP Server, Filesystem, and PostgreSQL empower developers to integrate AI with Git, files, and databases. Their Model Context Protocol Git repositories provide open-source tools for automation and productivity. This guide has highlighted five leading servers, a Go-based MCP server example, and use cases from workflow automation to data analysis. The chart underscores GitHub’s dominance, and X posts reflect the ecosystem’s vibrancy.

Ready to dive in? Clone a repo, set up the GitHub MCP Server, or build your own with Go. What’s your MCP project? Share below!