everything vs mxcp
Side-by-side comparison to help you pick between these two MCP servers.
everything by modelcontextprotocol | mxcp by raw-labs | |
|---|---|---|
| Stars | ★ 85,748 | ★ 67 |
| 30d uses | — | — |
| Score | 77 | 47 |
| Official | ✓ | — |
| Categories | Developer ToolsAI / LLM ToolsOther | Developer ToolsOps & InfraAI / LLM Tools |
| Language | TypeScript | Python |
| Last commit | this month | this month |
everything · Summary
Official MCP test server exercising all protocol features for client builders.
mxcp · Summary
MXCP is an enterprise-grade framework for building production-ready MCP servers with data modeling, security policies, and comprehensive testing.
everything · Use cases
- Testing MCP client implementations against all protocol features
- Learning MCP protocol capabilities through a reference server
- Validating client compatibility with different transport methods
mxcp · Use cases
- Enterprise data access with fine-grained security policies and audit trails
- Hybrid data analysis combining SQL for queries and Python for complex ML models
- Production AI applications with drift detection, monitoring, and compliance logging
everything · Install
NPX (recommended)
{
"mcpServers": {
"everything": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everything"]
}
}
}On Windows, use cmd /c:
{
"mcpServers": {
"everything": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
}
}
}Docker
{
"mcpServers": {
"everything": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/everything"]
}
}
}Global install
npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everythingmxcp · Install
Installation
# Install MXCP
pip install mxcp
# Initialize a new project
mkdir my-ai-tools && cd my-ai-tools
mxcp init --bootstrap
# Start serving your tools
mxcp serveClaude Desktop Configuration
Add this to your Claude Desktop config:
{
"mcpServers": {
"my-tools": {
"command": "mxcp",
"args": ["serve", "--transport", "stdio"],
"cwd": "/path/to/my-ai-tools"
}
}
}