ContextOS vs everything
Side-by-side comparison to help you pick between these two MCP servers.
ContextOS by itallstartedwithaidea | everything by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 22 | ★ 85,748 |
| 30d uses | — | — |
| Score | 43 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Developer ToolsAI / LLM ToolsOther |
| Language | Python | TypeScript |
| Last commit | this month | this month |
ContextOS · Summary
A unified MCP context intelligence platform that combines seven foundational repos into a single pip-installable CLI with advanced reasoning capabilities.
everything · Summary
Official MCP test server exercising all protocol features for client builders.
ContextOS · Use cases
- Advanced AI agents requiring contextual reasoning beyond simple retrieval
- Advertising and marketing systems needing to analyze contradictory data signals
- Complex document analysis with dynamic freshness requirements
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
ContextOS · Install
pip install contextosTo use with Claude Desktop, add this to your claude_desktop_config.json:
{
"mcpServers": {
"contextos": {
"command": "python",
"args": ["-m", "contextos"]
}
}
}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-everything