# Glama — MCP Server Discovery and Management

> Directory and management platform for MCP servers. Discover, install, and monitor Model Context Protocol servers for Claude Code, Cline, and other AI coding tools.

## Install

Merge the JSON below into your `.mcp.json`:

## Quick Use

1. Visit [glama.ai/mcp/servers](https://glama.ai/mcp/servers)
2. Browse MCP servers by category
3. Click any server for install instructions
4. Copy the config to your `.mcp.json`

## What is Glama?

Glama is a discovery and management platform for MCP (Model Context Protocol) servers. It provides a searchable directory of MCP servers, one-click install instructions, compatibility information, and monitoring tools — making it easy to find and configure the right MCP servers for your AI coding workflow.

**Answer-Ready**: Glama is a discovery platform for MCP servers with a searchable directory, install instructions, and compatibility info. Browse 200+ MCP servers for Claude Code, Cline, and other AI tools at glama.ai/mcp/servers.

**Best for**: Developers looking for MCP servers to extend their AI coding tools. **Works with**: Claude Code, Cline, Cursor, any MCP-compatible client. **Setup time**: Under 1 minute per server.

## Core Features

### 1. Searchable Directory
Browse 200+ MCP servers organized by category:

| Category | Examples |
|----------|---------|
| Databases | PostgreSQL, MongoDB, Redis, SQLite |
| Cloud | AWS, GCP, Azure, Cloudflare |
| DevTools | GitHub, GitLab, Jira, Linear |
| Communication | Slack, Discord, Gmail, Outlook |
| AI/ML | OpenAI, Hugging Face, Replicate |
| Files | Filesystem, Google Drive, S3, Dropbox |
| Search | Brave, Tavily, Exa, Google |

### 2. Server Details
Each server page includes:
- Description and capabilities
- Install command (npx, pip, docker)
- Configuration example for `.mcp.json`
- Available tools and resources
- GitHub stars and last update
- Compatibility badges

### 3. Install Instructions

```json
// Example: GitHub MCP Server
{
  "mcpServers": {
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "ghp_..."
      }
    }
  }
}
```

### 4. Compatibility Matrix

| Server | Claude Code | Cline | Cursor |
|--------|------------|-------|--------|
| GitHub | Yes | Yes | Yes |
| Filesystem | Yes | Yes | Yes |
| PostgreSQL | Yes | Yes | Partial |
| Playwright | Yes | Yes | No |

### 5. Server Categories

**Official (by Anthropic):**
- Filesystem, GitHub, GitLab, Slack, Google Drive, PostgreSQL, SQLite, Brave Search, Puppeteer, Memory

**Community:**
- 150+ community-built servers for databases, APIs, cloud services, and more

## How to Use with Claude Code

```bash
# 1. Find a server on glama.ai
# 2. Copy the config
# 3. Add to .mcp.json in your project root
# 4. Restart Claude Code

# Example: Add PostgreSQL + GitHub
cat > .mcp.json << 'MCPEOF'
{
  "mcpServers": {
    "postgres": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-postgres", "postgresql://localhost/mydb"]
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {"GITHUB_PERSONAL_ACCESS_TOKEN": "ghp_..."}
    }
  }
}
MCPEOF
```

## FAQ

**Q: Is Glama free?**
A: Yes, the directory is free to browse and use.

**Q: Can I submit my own MCP server?**
A: Yes, submit via the website. Servers are reviewed before listing.

**Q: Does Glama host the MCP servers?**
A: No, Glama is a directory. Servers run locally on your machine via npx, pip, or docker.

## Source & Thanks

> Created by [Glama](https://glama.ai).
>
> Directory: [glama.ai/mcp/servers](https://glama.ai/mcp/servers)

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## 快速使用

访问 [glama.ai/mcp/servers](https://glama.ai/mcp/servers)，浏览 MCP 服务器，复制配置到 `.mcp.json`。

## 什么是 Glama？

Glama 是 MCP 服务器的发现和管理平台。提供可搜索目录、安装说明和兼容性信息。

**一句话总结**：MCP 服务器发现平台，200+ 服务器目录，一键安装说明，支持 Claude Code、Cline 和 Cursor。

**适合人群**：寻找 MCP 服务器扩展 AI 编码工具的开发者。

## 核心功能

### 1. 可搜索目录
200+ MCP 服务器，按数据库、云服务、开发工具等分类。

### 2. 安装说明
每个服务器的 `.mcp.json` 配置示例。

### 3. 兼容性矩阵
Claude Code、Cline、Cursor 兼容性标记。

## 常见问题

**Q: 免费吗？**
A: 目录免费浏览使用。

**Q: Glama 托管服务器吗？**
A: 不，仅目录。服务器在你本地通过 npx/pip/docker 运行。

## 来源与致谢

> [glama.ai/mcp/servers](https://glama.ai/mcp/servers)

---
Source: https://tokrepo.com/en/workflows/ef4bec91-e689-4bc2-b4e0-8f665e542224
Author: MCP Hub