Entroly

local MCP server

Installation

Terminal

claude mcp add entroly -e ENTROLY_MCP_PROFILE=... -e ENTROLY_MCP_PASSIVE=... -e ENTROLY_NO_DOCKER=... -- uvx entroly

Run in your project folder. Add --scope user to use it everywhere.

Claude Desktop, Cursor & other clients

Add to claude_desktop_config.json or .cursor/mcp.json.

{
  "mcpServers": {
    "entroly": {
      "command": "uvx",
      "args": [
        "entroly"
      ],
      "env": {
        "ENTROLY_MCP_PROFILE": "...",
        "ENTROLY_MCP_PASSIVE": "...",
        "ENTROLY_NO_DOCKER": "..."
      }
    }
  }
}

Fill in the environment variables with your own credentials.

Summary

Context Assurance for AI agents: context engineering, AI cost optimization, verification.

Questions

Entroly is a local MCP server distributed as the pypi package entroly.

Run: claude mcp add entroly -e ENTROLY_MCP_PROFILE=... -e ENTROLY_MCP_PASSIVE=... -e ENTROLY_NO_DOCKER=... -- uvx entroly

Run: codex mcp add entroly --env ENTROLY_MCP_PROFILE=... --env ENTROLY_MCP_PASSIVE=... --env ENTROLY_NO_DOCKER=... -- uvx entroly

Similar MCP servers

NameStars

ClariLayerio.github.clarilayer/clarilayer82
Agent Memory MCPio.github.ipiton/agent-memory-mcp42
memexio.github.STiFLeR7/memex12
mdflow — Context OS for AI Coding Agentsio.github.yubinbin32-ops/mdflow11
Honchoio.github.plastic-labs/honcho7,369
semio.github.Ataraxy-Labs/sem3,364
sqzio.github.ojuschugh1/sqz632
Nautilus Compass Memoryio.github.chunxiaoxx/nautilus-compass622