AgentRecall-MCP vs everything
Side-by-side comparison to help you pick between these two MCP servers.
AgentRecall-MCP by Goldentrii | everything by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 252 | ★ 85,748 |
| 30d uses | — | — |
| Score | 51 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Developer ToolsAI / LLM ToolsOther |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
AgentRecall-MCP · Summary
AgentRecall provides AI session memory with Think-Execute-Reflect quality loops to enable persistent, compounding memory for AI agents.
everything · Summary
Official MCP test server exercising all protocol features for client builders.
AgentRecall-MCP · Use cases
- Persistent memory for AI agents working across multiple sessions
- Knowledge management for development teams using Claude or similar AI tools
- Bootstrap import from existing memory systems like Claude AutoMemory
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
AgentRecall-MCP · Install
Installation
- Install the MCP server via npm:
npm install -g agent-recall-mcp- Add to Claude Desktop configuration:
{
"mcpServers": {
"agent-recall": {
"command": "npx",
"args": ["agent-recall-mcp"]
}
}
}- Run
/arbootstrapto import existing memory systems and projects.
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