Entroly
local MCP serverEntroly is a local MCP server: Context Assurance for AI agents: context engineering, AI cost optimization, verification. Install it from pypi as entroly.
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.
What you need
- Runtime: Python with uv (runs with uvx) or Node.js 18+ (runs with npx).
- MCP client: Claude Code, Codex, Antigravity, Claude Desktop, Cursor or any other client that speaks MCP over stdio.
- Environment variables:
ENTROLY_MCP_PROFILE,ENTROLY_MCP_PASSIVE,ENTROLY_NO_DOCKER
Summary
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
Entroly vs similar servers
| Server | Stars | Type | API key | Runtime |
|---|---|---|---|---|
| Entroly | 470 | Local | Yes | pypi |
| Honcho | 7,369 | Hosted | Yes | None |
| sem | 3,364 | Local | No | npm |
| sqz | 632 | Local | No | cargo |
| Nautilus Compass Memory | 622 | Hosted | Yes | None |
Questions
It reads 3 environment variables: ENTROLY_MCP_PROFILE, ENTROLY_MCP_PASSIVE, ENTROLY_NO_DOCKER. Set them in your MCP config before starting the server.
Python with uv (runs with uvx) or Node.js 18+ (runs with npx), plus an MCP client such as Claude Code, Codex, Claude Desktop or Cursor.
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
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