What is io.github.dingdawg/dingdawg-loop?

Safe scheduled AI agents with governance gates. Verified, receipted, fail-closed.

How do I install io.github.dingdawg/dingdawg-loop?

Clone io.github.dingdawg/dingdawg-loop from https://github.com/dingdawg/loop-protocol and configure it as an MCP server in your client (Claude Desktop, Cursor, or VS Code).

Is io.github.dingdawg/dingdawg-loop open source?

Yes, io.github.dingdawg/dingdawg-loop is open source under the MIT license. Source code is available at https://github.com/dingdawg/loop-protocol.

What category does io.github.dingdawg/dingdawg-loop belong to?

io.github.dingdawg/dingdawg-loop is listed under Developer Tools MCP servers on MCPFind.

io.github.dingdawg/dingdawg-loop — MCP Server for Developer Tools

dingdawg-loop

DingDawg Loop Protocol (DDLP) — safe scheduled AI agents with governance gates.

Every loop execution is verified, receipted, and fail-closed. MCP-native. Works with CrewAI, LangGraph, Claude Code, and Cursor.

Install

npx dingdawg-loop

Or as an MCP server in Claude Desktop / Claude Code:

{
  "mcpServers": {
    "dingdawg-loop": {
      "command": "npx",
      "args": ["dingdawg-loop"]
    }
  }
}

What it does

DDLP wraps any scheduled agent action with a governance gate that:

Evaluates the loop description before execution
Blocks destructive, financial, or sensitive operations until policy thresholds are met
Signs every execution with an Ed25519 receipt
Provides full audit history per loop

MCP Tools

Tool	Description
`register_loop`	Register a new scheduled loop with name, description, cron, and governance policy
`execute_loop`	Run one cycle of a registered loop — governance gate fires before any action
`list_loops`	List all registered loops with status, last execution, and receipt count
`pause_loop`	Pause a running loop — no executions until resumed
`resume_loop`	Resume a paused loop
`loop_audit`	Retrieve the full signed receipt audit trail for any loop

Governance gates

DDLP classifies every loop at registration time. High-risk categories require elevated approval:

Destructive operations — file deletion, database mutations, DROP statements
External communications — email sends, Slack messages, webhook calls
Financial operations — any spend, transfer, or payment action
Sensitive data access — PII reads, credential access, health records
Bulk operations — mass updates, batch sends, bulk deletes

Compatibility

Works with any MCP-compatible AI client:

Claude Desktop / Claude Code
Cursor
CrewAI (via MCP bridge)
LangGraph (via MCP bridge)

License

BUSL-1.1 — see LICENSE

Publisher

DingDawg Enterprise — hello@dingdawg.com — dingdawg.com

Set up in your AI client

AI clientOperating system

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json

{
  "mcpServers": {
    "io-github-dingdawg-dingdawg-loop": {
      "command": "npx",
      "args": [
        "-y",
        "dingdawg-loop"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Compatible MCP Clients

io.github.dingdawg/dingdawg-loop works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.

Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.

VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.

Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.

Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

io.github.dingdawg/dingdawg-loop