
Dingdawg Governance
io.github.dingdawgPublished by GitHub account dingdawgv2.1.6Updated Oct 24, 2026
Universal governance layer for AI agents. MCP-native, fail-closed, audit proofs and rollback.
Overview
Governance layer for AI agents that validates actions before they run, issues cryptographic receipts, and supports rollback and audit reports.
- What you can do
- Validate proposed actions against policy before execution, returning approved, flagged or blocked with a risk score
- Generate tamper-evident receipts for completed actions and query or export them by date, agent, action type or status
- Snapshot state before high-risk operations and roll back a file write by receipt ID
- Produce SOC 2 or ISO 27001-aligned audit reports as signed PDF or JSON
- Check current tier, daily usage, quota and active governance alerts
- When to use it
- Use it when an agent performs writes, shell commands or other state-changing operations and you want a pre-execution policy gate, an auditable trail of what it did, and a way to undo changes. Also relevant for teams that need compliance-style audit reports from agent activity.
- Requirements
- Runs locally as an npm package over stdio, started with npx. Requires a Dingdawg API key supplied in the DINGDAWG_API_KEY environment variable; the README says a free key is available after authenticating. Network access to the Dingdawg service is implied by receipts, verification URLs and audit reports.
Installation
In SourceWeft
- Open Dingdawg Governance in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
DingDawg Governance
[npm version] [npm downloads] [License: MIT]
Every AI action receipted. Capability-gated. Rollback-ready.
AI Governance-as-a-Service via MCP. Every write, shell command, and state-changing operation your agent makes is validated before it runs and cryptographically receipted after it completes — giving you a tamper-evident audit trail you can query, export, or roll back at any time.
Works with Claude Code, Codex, Cursor, Windsurf, and any MCP-compatible agent.
Install
Quick Start
Add to your MCP client config:
Get your free API key at app.dingdawg.com/settings/api.
What You Get
- Pre-execution validation — Every action checked against your policy before it runs. Blocked actions never touch your filesystem.
- Cryptographic receipts — Tamper-evident record for every action with a unique ID, output hash, and public verification URL.
- One-command rollback — Undo any file write by referencing its receipt ID. Prior state is captured automatically before every write.
- Real-time trust scores — Behavioral pattern tracking across sessions surfaces anomalies before they become incidents.
- Compliance reports in seconds — SOC 2 and ISO 27001-aligned audit reports as signed PDF or structured JSON. One API call.
MCP Tools
Plans
No credit card to start. Full pricing: dingdawg.com/governance#pricing
Documentation
Full docs at dingdawg.com/governance/docs
- Getting started
- MCP tool reference
- Policy configuration
- Audit report formats
- Enterprise SSO and team management
Contributing
Issues and pull requests welcome. See CONTRIBUTING.md.
github.com/dingdawg/governance-mcp
Built by DingDawg — Trust layer for the agentic internet.
Source: README.md at commit d9f09b8
Tools
0Version history
1- v2.1.6LatestSep 16, 2026
Score
50% of the applicable checks met
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- Reached in the last 30 days25 pts
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- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts