
Everything
Reference / test server with prompts, resources, and tools
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Copy this prompt and paste it into Claude, Cursor, or any MCP client to install instantly.
Install the Everything MCP server for me.
Server: Everything
Description: Reference / test server with prompts, resources, and tools
Install command: npx -y @modelcontextprotocol/server-everything
GitHub: https://github.com/modelcontextprotocol/servers/tree/main/src/everything
Please install this MCP server and confirm when ready. Paste into any AI agent with MCP support — works with Claude Desktop, Cursor, Cline, and more.
Quick Install
Config file: ~/Library/Application Support/Claude/claude_desktop_config.json
- Open Claude Desktop app
- Go to Settings → Developer → Edit Config
- Paste the config below into the file
- Restart Claude Desktop
{
"mcpServers": {
"everything": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-everything"
]
}
}
} Add this to your ~/Library/Application Support/Claude/claude_desktop_config.json
Installation Methods
npx -y @modelcontextprotocol/server-everythingTools (3)
echo Echoes back the input message
add Adds two numbers together
printEnv Prints all environment variables
Compatibility
About
This MCP server exercises all the features of the MCP protocol. It is not intended to be a useful production server, but rather a test server for builders of MCP clients. It implements prompts, tools, resources, sampling, and more to showcase MCP capabilities.
Features Demonstrated
- Tools — Basic computation and echo functions
- Resources — Static and dynamic resource serving
- Prompts — Templated prompt generation
- Sampling — LLM sampling requests from server to client
- Roots — Root directory management
- Progress notifications — Long-running operation progress
- Logging — Server log message streaming
Use Cases
- Client development — Test your MCP client implementation
- Protocol exploration — Understand all MCP features
- Integration testing — Verify client-server communication
- SDK validation — Confirm SDK completeness
Related Resources
GitHub
MCP ServerRepository management, file operations, and GitHub API integration
AI Model Evaluation Framework
PromptDesign comprehensive benchmarking protocols for evaluating AI models across multiple dimensions including reasoning, creativity, coding, and safety with reproducible methodologies.
MCP Client Developer
SkillBuild Model Context Protocol clients to connect AI assistants with external tools and data sources. Master the protocol for seamless AI-tool integration.
Testing
GlossaryEvaluating software to ensure it behaves as expected.
Filesystem
MCP ServerSecure file operations with configurable access controls
Compare LLM Pricing
This server works with Claude, GPT-4o, and other models. Compare API costs side-by-side to find the cheapest option for your workflow.