What is the key difference between Engram Cc and Entroly?

Engram Cc belongs to the Knowledge & Memory category with local stdio execution, while Entroly belongs to the Knowledge & Memory category with local stdio execution.

How do I install Engram Cc or Entroly in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Engram Cc and Entroly free or paid?

Engram Cc operates under a Free / Open Source model (No auth required). Entroly operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Engram Cc lists 0 tools with 0 views and 0 GitHub stars. Entroly lists 6 tools with 2 views and 435 GitHub stars.

Can I use both Engram Cc and Entroly together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

How do I install Engram Cc or Entroly in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Engram Cc and Entroly free to use, or do they require API keys?

Engram Cc is listed under a Free / Open Source model with No auth required . Entroly operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Engram Cc and Entroly at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both engram-cc and juyterman1000-entroly as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Engram Cc has a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Entroly holds a Quality Score of 63 /100 ( Good ) with 2 views, 0 installs, and 435 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Engram Cc vs Entroly

In-depth architectural comparison of the Engram Cc and Entroly MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Engram Cc

Knowledge & Memory · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Entroly

Knowledge & Memory · Local stdio

Quality: 63/100 (Good) | Auth: No auth required

Verdict Summary: Choose Engram Cc if you need specialized Knowledge & Memory tools running via a local process. Choose Entroly if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Engram Cc when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Engram Cc Details

Choose Entroly when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: Recoverable compression using BM25, entropy, and dependency graph knapsack, Stable prompt prefixing for provider cache discounts, Bayesian routing of tasks to cheaper models.

Explore Entroly Details

Feature & Specification Comparison

Specification	E Engram Cc Knowledge & Memory	Entroly juyterman1000 Knowledge & Memory
Summary	Universal AI coding assistant memory — session handoff, SLM compression, and semantic retrieval.	Auditable context control plane and MCP server for AI coding agents. Compresses context 70–95% (BM25 + entropy + dep-graph knapsack), stabilizes prompt prefixes for provider cache discounts, routes easy tasks to cheaper models (RAVS Bayesian router), and verifies answers locally with WITNESS hallucination guard (0.844 AUROC, $0, 3 ms). MemoryOS adds local budget-aware working/episodic/semantic memory with decay, safety scanning, and durable persistence. 38 agent integrations (Cursor, Claude Code, Codex, Aider, and more). Ships as MCP server (entroly serve), HTTP proxy, or Python/Rust library. Apache-2.0, local-first. pip install entroly
Category & Scope

Tools & Capabilities Breakdown

Engram Cc Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Entroly Tools (6)

Recoverable compression using BM25, entropy, and dependency graph knapsack

Stable prompt prefixing for provider cache discounts

Bayesian routing of tasks to cheaper models

Local hallucination guard with WITNESS (0.844 AUROC)

MemoryOS with working, episodic, and semantic memory plus decay and persistence

Auditable receipts documenting context selection decisions

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Engram Cc Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "engram-cc": {
      "command": "npx",
      "args": [
        "-y",
        "engram-cc"
      ]
    }
  }
}

Entroly Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "juyterman1000-entroly": {
      "command": "uvx",
      "args": [
        "entroly"
      ]
    }
  }
}

Frequently Asked Questions

Engram Cc is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Entroly belongs to Knowledge & Memory using local stdio subprocess. Select Engram Cc when you need capabilities focused on knowledge & memory and Entroly when you require tools for knowledge & memory.

More alternatives to Engram Cc More alternatives to Entroly Knowledge & Memory category hub