AgentPlaybooks vs Entroly

A side-by-side look at the AgentPlaybooks and Entroly MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

AgentPlaybooks logoAgentPlaybooksKnowledge & Memory · Local subprocess (stdio)Portable, vendor-neutral home for agent skills, MCP servers, personas, and memory.47FairAuth: not declaredEntroly logoEntrolyKnowledge & Memory · Local subprocess (stdio)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 entroly65GreatAuth: no auth required

Verdict: choose AgentPlaybooks for knowledge & memory work as a local process; choose Entroly for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

AgentPlaybooks logoChoose AgentPlaybooks when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • You have the keys it needs: NEXT_PUBLIC_SUPABASE_URL, NEXT_PUBLIC_SUPABASE_ANON_KEY, SUPABASE_SERVICE_ROLE_KEY, SECRETS_ENCRYPTION_KEY.
Explore AgentPlaybooks

Entroly logoChoose Entroly when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
Explore Entroly

Feature & specification comparison

Rows where the two servers differ are marked.

SpecAgentPlaybooks logoAgentPlaybooksEntroly logoEntroly
CategoryKnowledge & MemoryKnowledge & Memory
Quality signal47/100 · Fair65/100 · Great
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNot declaredNo auth required
PricingNot declaredFree
Required env varsNEXT_PUBLIC_SUPABASE_URLNEXT_PUBLIC_SUPABASE_ANON_KEYSUPABASE_SERVICE_ROLE_KEYSECRETS_ENCRYPTION_KEYNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars9479
Directory activity 0 views 0 installs 0 upvotes 4 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

AgentPlaybooks tools

No tool names declared yet. Check the project README from the listing page.

Entroly tools

No tool names declared yet. Check the project README from the listing page.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

AgentPlaybooks

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "agentplaybooks": {
      "command": "npx",
      "args": [
        "-y",
        "@agentplaybooks/cli@latest"
      ],
      "env": {
        "NEXT_PUBLIC_SUPABASE_URL": "YOUR_NEXT_PUBLIC_SUPABASE_URL_HERE",
        "NEXT_PUBLIC_SUPABASE_ANON_KEY": "YOUR_NEXT_PUBLIC_SUPABASE_ANON_KEY_HERE",
        "SUPABASE_SERVICE_ROLE_KEY": "YOUR_SUPABASE_SERVICE_ROLE_KEY_HERE",
        "SECRETS_ENCRYPTION_KEY": "YOUR_SECRETS_ENCRYPTION_KEY_HERE"
      }
    }
  }
}

Entroly

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "juyterman1000-entroly": {
      "command": "npx",
      "args": [
        "-y",
        "entroly"
      ]
    }
  }
}

Frequently asked questions

AgentPlaybooks is categorized under Knowledge & Memory and uses a local stdio subprocess. Entroly belongs to Knowledge & Memory and uses a local stdio subprocess. Pick AgentPlaybooks for knowledge & memory work and Entroly for knowledge & memory.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

AgentPlaybooks has no declared pricing — check the project's own site. Entroly is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add agentplaybooks and juyterman1000-entroly as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, AgentPlaybooks has a quality signal of 47/100 (Fair) with 0 views, 0 installs and 9 GitHub stars. Entroly has 65/100 (Great) with 4 views, 0 installs and 479 GitHub stars.